Pith. sign in

Paper Citation Record · LEDGER

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods

As of 20 August 2026, this Paper Citation Record lists 100 of 224 outbound references and 0 inbound Pith citation observations for arXiv:2506.05626.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.05626 v2

Coverage vector

measured 100 of 224 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:45.685359Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 224 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved94
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4efdbe81-65cb-45bd-ad50-328b09e7da2d · outbound

This paper cites A survey on knowledge graphs: Representation, acquisition, and applications,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods A survey on knowledge graphs: Representation, acquisition, and applications,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:32.812916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:32.812916Z digest=sha256:fb4ca5bb1504ccba6474f06a850541cf29e6a9c2f71570a5539cb14df7af3fcb

Observation d5d68962-f890-4d96-94d5-3ee6416f1a8a · outbound

This paper cites Development of knowledge graph for university courses management,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Development of knowledge graph for university courses management,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:32.909164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:32.909164Z digest=sha256:5acd6b79b5ef24b759d18ef2a552dc09d01571b01f7020cde0f4c88cca40591b

Observation 11810668-b724-45ac-ba7b-5f6cc73560c9 · outbound

This paper cites Knowledge graph in smart education: A case study of entrepreneurship scientific publication management,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Knowledge graph in smart education: A case study of entrepreneurship scientific publication management,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.023190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.023190Z digest=sha256:1fb7a5134c0d2f05fe347e0858913745b730fa54793cfe0031b07b8858f2fbb4

Observation c2cd120a-2b20-4df0-9af9-52912fc70ee3 · outbound

This paper cites Analyzing social media for measuring public attitudes toward controversies and their driving factors: a case study of migration,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Analyzing social media for measuring public attitudes toward controversies and their driving factors: a case study of migration,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.140494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.140494Z digest=sha256:03fc858f1d068f924c36d50c179681c5797909629536d06899887a0b170958a1

Observation 24c9b542-ff1a-4d8e-907c-a90b1e491fdf · outbound

This paper cites Smr: medical knowledge graph embedding for safe medicine recommendation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Smr: medical knowledge graph embedding for safe medicine recommendation,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.280191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.280191Z digest=sha256:37f74dfd5de1ea31e0b94796e66d92382f129417689e4013bdbadeadc02549a3

Observation d18d3d33-68b6-476c-985c-022bb42c1a7b · outbound

This paper cites Financial time series forecast- ing with multi-modality graph neural network,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Financial time series forecast- ing with multi-modality graph neural network,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.420802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.420802Z digest=sha256:fdb5243bad8b474e82c41bdba4ad21af7a629668fcb5bc5d0cacae25671d2132

Observation 9487aa56-f322-4633-bcde-0b4478997813 · outbound

This paper cites Knowledge graphs: Opportunities and challenges,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Knowledge graphs: Opportunities and challenges,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.545207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.545207Z digest=sha256:37cd7d4151072a2dc54e9a739d372b4f8deb113113ec1fb22b0da06106216e62

Observation ec40828f-dc9c-4adf-a305-b4c7d7f7cc8d · outbound

This paper cites Neurosymbolic Methods for Dynamic Knowledge Graphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Neurosymbolic Methods for Dynamic Knowledge Graphs

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:10.906202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:33.696373Z digest=sha256:c3788836d0566eff41ac56ad22d9b250aa5ebcf58eda0f21b90ffcce03230566

Observation db9001da-eb76-4ba3-93d0-dedc3228aeb3 · outbound

This paper cites Wordnet:: Similarity- measuring the relatedness of concepts.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Wordnet:: Similarity- measuring the relatedness of concepts

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:33.857724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:33.857724Z digest=sha256:bf67dc504bfe8a8fae855d31e7b6e9d402c44dd6cf46dddcbcb005e977f0c708

Observation 925b6fe0-c278-4094-8712-138eea6abefb · outbound

This paper cites Dbpedia: A nucleus for a web of open data,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Dbpedia: A nucleus for a web of open data,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.033303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.033303Z digest=sha256:2c46ee18429f171b1d22409a54dde6953ce98d0ea72fc02323ecf6f1779c2cc6

Observation 12aedc3d-b9fa-4497-9155-31cba1a8a6e3 · outbound

This paper cites Y AGO 4.5: A large and clean knowledge base with a rich taxonomy,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Y AGO 4.5: A large and clean knowledge base with a rich taxonomy,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.144071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.144071Z digest=sha256:b7fb67486aa5e3236ef994d1d230466efb740386d1ce150caa6708e82f385253

Observation 6e1c252e-6146-47b2-a164-bedbd223c26e · outbound

This paper cites Free- base: a collaboratively created graph database for structuring human knowledge,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Free- base: a collaboratively created graph database for structuring human knowledge,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.285170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.285170Z digest=sha256:70b39207969dd15c7b6211429176b9b2fca96c0856eee213973a7d41a9c1138c

Observation 9e007725-7e92-42dd-a38c-08e7f2d4fd41 · outbound

This paper cites Wikidata: a free collaborative knowl- edgebase,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Wikidata: a free collaborative knowl- edgebase,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.419036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.419036Z digest=sha256:c4bad41805628cf0e683454215b01908fbd054d63a72b84cbc37bc03cf128d3f

Observation 96552135-e747-41b4-ade9-0d1f03dd11d2 · outbound

This paper cites Model: Motif- based deep feature learning for link prediction,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Model: Motif- based deep feature learning for link prediction,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.517733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.517733Z digest=sha256:1b61bf9def7eb46acdf41c4969c3309830b06017187818733177a516835ed9ff

Observation c16d66bd-7d43-408c-8c76-245f8c5f36de · outbound

This paper cites Realistic re- evaluation of knowledge graph completion methods: An experimental study,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Realistic re- evaluation of knowledge graph completion methods: An experimental study,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.626963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.626963Z digest=sha256:57979d39ba473cf50235dbb0d2d2c86d363d3baa5795fbb9a7bca18ff185161f

Observation 8eed0980-3c13-4bbd-98c3-d3a38bafd0f8 · outbound

This paper cites Commonsense for Generative Multi-Hop Question Answering Tasks.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Commonsense for Generative Multi-Hop Question Answering Tasks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:10.610549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:34.744317Z digest=sha256:3d18985509d49cd5bea648a9a04cc71596a2b06d2e9694116617dd2d933b29a9

Observation ce817d60-99e1-40f6-ac48-93a1c92346bb · outbound

This paper cites Predicate constraints based question answering over knowledge graph,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Predicate constraints based question answering over knowledge graph,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:34.899749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:34.899749Z digest=sha256:8461253620c74b7ce443f750b90e4613930f12095376edfcc25fc1f86e496d8f

Observation dff0be21-6bf5-42f8-8bbc-671534877c8f · outbound

This paper cites Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.019445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.019445Z digest=sha256:93aadde8aeac3c21e67a62cfff845e77b593c53442dc01f2ab1de919c9fda943

Observation 0527a150-5908-4551-8ec1-f493e1f15531 · outbound

This paper cites A survey on knowledge-aware news recommender systems,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods A survey on knowledge-aware news recommender systems,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.133510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.133510Z digest=sha256:9e3edd8aee73b72aac18bcf3bc23fb5e8a0a45741b799cdfab53dbad68e19d8b

Observation 39256eb8-1a77-4b4e-8d46-7ada38021eb9 · outbound

This paper cites Explainable reasoning over knowledge graphs for recommendation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Explainable reasoning over knowledge graphs for recommendation,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.407918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.407918Z digest=sha256:e0217833d5896c34f0066f2d3fa54cc16c962ffc5b1f166bfe4d7b601fa8c292

Observation 339d2725-1006-451d-ac7c-320c2d61aa71 · outbound

This paper cites Shifu2: A network representation learning based model for advisor- advisee relationship mining,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Shifu2: A network representation learning based model for advisor- advisee relationship mining,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.526469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.526469Z digest=sha256:b9180935a006be1b9f0a4c2547a4f80c000210c777e1db1b120161ec5c840448

Observation a5ee90b0-bae7-4080-b314-0468414960e6 · outbound

This paper cites Higher-order networks representation and learning: A survey,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Higher-order networks representation and learning: A survey,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.685920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.685920Z digest=sha256:70c542fa4a8c7a321921901e2c305d85468cb97a2f2f8c71a407711a59c25881

Observation 16526aa8-ea6d-4330-bfb4-5d3babb51138 · outbound

This paper cites Hplapgcn: Hypergraph p-laplacian graph convolutional networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hplapgcn: Hypergraph p-laplacian graph convolutional networks,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.822954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.822954Z digest=sha256:8c1298b2b03e5d8df4a9c7cd8f3578912187ee2b252def7ad78f8e59786ee80b

Observation a9ea0466-d860-439e-a5aa-e194b0807246 · outbound

This paper cites Nonuniform hyper- network embedding with dual mechanism,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Nonuniform hyper- network embedding with dual mechanism,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:35.990643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:35.990643Z digest=sha256:7db23d9bf694e75215615fb95de91c13b2ee60aba78046679e8fca8599e78e8f

Observation 65d733ed-2b3b-417f-bd9f-af371bd7357a · outbound

This paper cites Dynamic hypergraph neural networks.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Dynamic hypergraph neural networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:36.123337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:36.123337Z digest=sha256:3ee939b7d711f0b29830aa08e45552c99a851bb48aa78750832128ec4e35be9e

Observation b52c407a-f560-48a8-8937-2d325ac33263 · outbound

This paper cites Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:10.371083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:36.280075Z digest=sha256:0e07613b2ce1e5c84a0673fdfa1b4e60e3ecce8429f48e82e053608473e30b8b

Observation 33590f93-650e-4839-b800-352cb95ed6da · outbound

This paper cites Netvec: A scalable hypergraph embedding system,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Netvec: A scalable hypergraph embedding system,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:36.727090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:36.727090Z digest=sha256:0cfbf6335951877c978a869f8e03c124136b09c1f67931ab6863f814424e151a

Observation 4adce25c-ce48-46ea-b17b-7b8be49f63c5 · outbound

This paper cites Practical parallel hypergraph algorithms,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Practical parallel hypergraph algorithms,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:36.839863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:36.839863Z digest=sha256:259c0688e1c5f74cc9b656857fd9ce34be6e34628a3ccbf0ef305f465d985628

Observation b18e377a-0d76-46c4-acf6-6047851e93a4 · outbound

This paper cites Learning over families of sets-hypergraph representation learning for higher order tasks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Learning over families of sets-hypergraph representation learning for higher order tasks,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:36.977510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:36.977510Z digest=sha256:357642e6310d472bb10a94db9d34c8d23a3ff022ee0eddb27749edaecadde4f1

Observation 2ab44778-361f-46c8-96f6-9a7b72798f3f · outbound

This paper cites Modeling multi-way relations with hypergraph embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Modeling multi-way relations with hypergraph embedding,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.036189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.036189Z digest=sha256:d25216d0052df49dfc28632e26085b1272f7f89c1cbb132458fbe57277679b3b

Observation 8a2b7099-b98f-4344-b9b9-bc55fd1f6c2f · outbound

This paper cites Knowledge Hypergraphs: Prediction Beyond Binary Relations.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Knowledge Hypergraphs: Prediction Beyond Binary Relations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.185203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.185203Z digest=sha256:7c44ae5d94e40508fb4bd0632f7739ed35d54634f2e2d60d388701ee419c7147

Observation 6091b344-de22-4589-930a-068a4d31a6e8 · outbound

This paper cites Neuinfer: Knowledge inference on n-ary facts,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Neuinfer: Knowledge inference on n-ary facts,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.339539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.339539Z digest=sha256:af2c1a0a38f25efe913ab038ead0e62fdabfdfa4e33374e9190fe92fca8fc774

Observation 182caa62-576f-4794-af76-2b2f1253b560 · outbound

This paper cites A Survey on Temporal Knowledge Graph: Representation Learning and Applications.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods A Survey on Temporal Knowledge Graph: Representation Learning and Applications

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.461996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.461996Z digest=sha256:7bbd9d0a083952e5802b163c2c81d75b4dad62a6f6f664b143d298709c677d63

Observation c59fd93b-7e9b-4742-aff5-1a2776639cdf · outbound

This paper cites Yago2: exploring and querying world knowledge in time, space, context, and many languages,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Yago2: exploring and querying world knowledge in time, space, context, and many languages,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.661692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.661692Z digest=sha256:32a9d0718d3273614f233f61eea03a53256f73f9519871afed8c3c05180604b9

Observation 0cea0939-8549-419a-8678-421e5b456637 · outbound

This paper cites On the representation and embedding of knowledge bases beyond binary relations.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods On the representation and embedding of knowledge bases beyond binary relations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.830122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.830122Z digest=sha256:892b5d6a34c8299bd3b810cd6018d660db5d63e33db2e254809fb48d6fd8b2c8

Observation d3a998f6-c352-484f-97de-74696807779f · outbound

This paper cites Neural message passing for multi-relational ordered and recursive hypergraphs,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Neural message passing for multi-relational ordered and recursive hypergraphs,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:37.994814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:37.994814Z digest=sha256:0c20417b753b1b39d894f25e729a34a44a8852c05a33c2fb66b30d33cfd906a7

Observation 74296641-bd18-418e-a903-52deda8e7501 · outbound

This paper cites Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.186662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.186662Z digest=sha256:d2d5f1f90e1cb6626fadb792f9427d1f50d20a8998bd5ca1fc252faa1f7247ca

Observation fc71dd25-e4b1-414d-ae1e-a63a01c6a6b2 · outbound

This paper cites A survey on hypergraph representation learning,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods A survey on hypergraph representation learning,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.361885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.361885Z digest=sha256:453c6fc2f6fe4e1922b30d5ba14c956a02e34bc9fc4c1ba8308c35b8ed33a10f

Observation 7fb5b08a-6ef5-4ab4-8f55-23e59f9925f6 · outbound

This paper cites Poskhg: A position-aware knowledge hypergraph model for link prediction,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Poskhg: A position-aware knowledge hypergraph model for link prediction,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.473457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.473457Z digest=sha256:ea1383141ce94133bd8fab248401aab594098dd3949c59f567422a71328f20e9

Observation 805b9886-cf43-4b48-b939-505e9e718322 · outbound

This paper cites Message Passing for Hyper-Relational Knowledge Graphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Message Passing for Hyper-Relational Knowledge Graphs

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:10.133375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:38.578650Z digest=sha256:ebd82cd494a00cab10883bdc6e0ccb878b2ef68d38ad19a1fd42bd7b4d6ef417

Observation 70c15601-dbca-4355-9fab-a0b23b5c4702 · outbound

This paper cites Temporal knowledge graph reasoning based on n-tuple modeling,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Temporal knowledge graph reasoning based on n-tuple modeling,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.754789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.754789Z digest=sha256:a4ba77d1a245392835f2d9c820f34854e8172b835f4517456334427d7c3aaf29

Observation 37eb8b38-a619-412d-b93a-033ba1c9ec4e · outbound

This paper cites Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:38.951377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:38.951377Z digest=sha256:ba52d7fd7cd31e470d88d81189234c1e7f392487e5904c8945ef13ebff4d3773

Observation d22f90ce-d2a7-4006-a190-c9ce667d4101 · outbound

This paper cites Learning represen- tations for hyper-relational knowledge graphs,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Learning represen- tations for hyper-relational knowledge graphs,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.096552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.096552Z digest=sha256:20c8a5ae07f10f288689838e1f53c9634600397078acabd195a38ca17ef4f3d4

Observation 2c83e428-9447-419f-b4c1-aacec83b5946 · outbound

This paper cites Link Prediction on N-ary Relational Facts: A Graph-based Approach.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Link Prediction on N-ary Relational Facts: A Graph-based Approach

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.234249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.234249Z digest=sha256:b4047e3b85deda12e751bde78ecd417b8844edacb6339eddfc45cd2649725ee9

Observation 94c58137-df61-4d13-81fb-72f54438bb67 · outbound

This paper cites Generalizing tensor decomposition for n- ary relational knowledge bases,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Generalizing tensor decomposition for n- ary relational knowledge bases,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.342751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.342751Z digest=sha256:1effb46cfcfbdbb8f93e0d466c0cdada8dfd3425034a00637d077d22f644bf57

Observation c96f88dc-820d-480c-877e-317542f4872d · outbound

This paper cites From knowledge graph embedding to ontology embedding? an analysis of the compatibility between vector space representations and rules,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods From knowledge graph embedding to ontology embedding? an analysis of the compatibility between vector space representations and rules,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.433834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.433834Z digest=sha256:15241e601224a34c6a313a173a65c8dce9fd118901967751de93d2911e0bec3c

Observation ab70d0fb-3634-4221-acc2-8bf7f2d4d5f3 · outbound

This paper cites Knowledge graph embed- ding: A survey from the perspective of representation spaces,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Knowledge graph embed- ding: A survey from the perspective of representation spaces,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.674451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.674451Z digest=sha256:44a28c3a0835a52488b659477fabb5d318ed32939b51449f3f24102b49c8af60

Observation 5ba356e7-590b-43d0-a8ab-72fd887e4f9d · outbound

This paper cites Hypergraph learning: Methods and practices,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph learning: Methods and practices,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.798233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.798233Z digest=sha256:8dd9753ea7ef1dbde8a01c98f60b843a59cd429094202c0d5224ad1019d00cd6

Observation 90b6e194-8a1c-407f-b9cd-d1c0ff4f271f · outbound

This paper cites Hypergraph and uncertain hypergraph representation learning theory and methods,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph and uncertain hypergraph representation learning theory and methods,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.880194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.880194Z digest=sha256:1ad247bd7f4ec94a9478ebac474319df22b16dbf30fb1ccedf5de44351fdea72

Observation 3507ecc2-3f90-4e6a-89a2-5edb1788ba9a · outbound

This paper cites Hyper-path-based representation learn- ing for hyper-networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hyper-path-based representation learn- ing for hyper-networks,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:39.976853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:39.976853Z digest=sha256:4d93dc9495a51d65bc2db3123411a1db48582b8b656300176cb301487d42b66a

Observation 4b7f9aac-6e7d-4981-ace9-d4aa546393bf · outbound

This paper cites Lbsn2vec++: Het- erogeneous hypergraph embedding for location-based social networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Lbsn2vec++: Het- erogeneous hypergraph embedding for location-based social networks,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.105143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.105143Z digest=sha256:a6dfdca5cbf7823e61e369be6c88b22f13e052063fc5c39bcf972c3e8b244212

Observation 427c6fed-cc5d-443b-9ed1-b1f84987ed4a · outbound

This paper cites Exploiting cross-order patterns and link prediction in higher-order networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Exploiting cross-order patterns and link prediction in higher-order networks,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.237920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.237920Z digest=sha256:70e325f9a88391b97274edf6bc2b867629f6fefb7430c6ef46e641cbc0dcac1e

Observation 40a5397c-2f35-4064-84fd-ad8f0ffcca3b · outbound

This paper cites Hypergraph theory,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph theory,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.294319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.294319Z digest=sha256:35f2ea85a2973a39dd15c1edec052e6faf263906f995119b1910b16cb8510233

Observation e05510fa-eb17-452c-99d2-c4cf4ba15631 · outbound

This paper cites Laplacian eigenmaps for dimensionality reduction and data representation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Laplacian eigenmaps for dimensionality reduction and data representation,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.385203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.385203Z digest=sha256:219fe8c721b0ad83d86933a1121bfcbb15536ef4031f31b7956fff062aa9a4d2

Observation 8a8fb8bf-2940-4ed9-9208-52dfd2387a54 · outbound

This paper cites A unified feature selection framework for graph embedding on high dimensional data,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods A unified feature selection framework for graph embedding on high dimensional data,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.494224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.494224Z digest=sha256:47d71bb69f4282400f5075e1b0f2e91872fd335e738871715069dfaebda5a824

Observation 493ebc5e-05df-4ab3-86b6-b20b0c0691c4 · outbound

This paper cites Laplacian score for feature selection,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Laplacian score for feature selection,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.531776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.531776Z digest=sha256:650c8dadfd5dc43992b1a32b741ec7c4a25212d63c6fd592cfccd7b495f95bb2

Observation 0396005d-9a60-4d3e-b0bb-3fb6b614a316 · outbound

This paper cites Learning with hypergraphs: Clustering, classification, and embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Learning with hypergraphs: Clustering, classification, and embedding,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.620765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.620765Z digest=sha256:3349e1abe3e9982c7ff55ab95dab664e35b6368b53d05f931f98651e79049204

Observation 39e4c9be-1b8c-4e3e-9363-4cb7fb7c08e8 · outbound

This paper cites Spectra, euclidean representations and clusterings of hyper- graphs,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Spectra, euclidean representations and clusterings of hyper- graphs,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.696510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.696510Z digest=sha256:f91f56129dd1041b3f4e28d74d075772069b3375c9710c3d2db86bd3de22c7cf

Observation a3de74ec-3822-4b60-9857-12aeddabae29 · outbound

This paper cites Hypergraph learning with hyperedge ex- pansion,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph learning with hyperedge ex- pansion,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.765783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.765783Z digest=sha256:88ca7f890a06ba39ffec8d6984c5cd630111f360c89d00ade77ac18a0680bfc7

Observation d9ed6912-0c8d-4562-9019-07375c1377ff · outbound

This paper cites Heterogeneous hypergraph embedding for document recommendation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Heterogeneous hypergraph embedding for document recommendation,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.859327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.859327Z digest=sha256:6a5d6f48eed5793546cbb94db3f8d2eb5dfd56ce61df7137050f186e0b570e1c

Observation b525644b-0bf6-4832-8bb6-b9e6b7d1270e · outbound

This paper cites On the laplacian eigenvalues and metric parameters of hypergraphs,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods On the laplacian eigenvalues and metric parameters of hypergraphs,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.920777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.920777Z digest=sha256:38ddc5eaeabebd4ef2f605daa170e27de0b3b087ce8adbf2f9dd530fe753d373

Observation 322c5a9d-467a-4aed-a8ae-e4f0a17964ef · outbound

This paper cites Hypergraph p-laplacian: A differential geometry view,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph p-laplacian: A differential geometry view,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:40.996221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:40.996221Z digest=sha256:e231d36397fe2b559381740a54b43cb6abbd89824ffdefe377cb604b8f761944

Observation 58886f9e-1593-4ea2-9e88-88add481ed3a · outbound

This paper cites Hypergraph embedding for spatial-spectral joint feature extraction in hyperspectral images,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph embedding for spatial-spectral joint feature extraction in hyperspectral images,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.122959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.122959Z digest=sha256:d272715afc68cf327c28d40c1e2f21ac7466c6d5c689015d3a16034e990a620e

Observation 7e2e0da7-8c98-4855-b020-f6e79f8f8571 · outbound

This paper cites Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral im- age,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral im- age,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.221425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.221425Z digest=sha256:7fbe5500bdcda7010d57ce7cdcb2da728bf3363b75fb3b44c8a85568ab6f793d

Observation 67fbe3d0-85e8-4e24-8ab3-fd6d0d0ba735 · outbound

This paper cites Semisupervised hypergraph discriminant learning for dimensionality reduction of hy- perspectral image,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Semisupervised hypergraph discriminant learning for dimensionality reduction of hy- perspectral image,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.366610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.366610Z digest=sha256:0977bb6f4c7029a4bd0c49e5d80bc7c1fa444b5e4e86697614def0a05f4aee17

Observation be8ad3a9-64cf-4544-90ec-0769250ec3ae · outbound

This paper cites Learning with hypergraph for hyperspec- tral image feature extraction,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Learning with hypergraph for hyperspec- tral image feature extraction,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.468628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.468628Z digest=sha256:9159b85fc6f10fd914159e120d185db8cf072b4b861df82cb2f3ad81f1e60ad5

Observation cff2d15a-e8f9-4339-8b40-1045bbd19d4f · outbound

This paper cites Discriminant hyper-laplacian projections and its scalable extension for dimensionality reduction,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Discriminant hyper-laplacian projections and its scalable extension for dimensionality reduction,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.581373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.581373Z digest=sha256:be1ec0b013d9ef903df4403ad79c0b448b0122a64b424d1ee873a12af3d2e657

Observation 3d24129a-4c79-4f19-aaca-76643beef551 · outbound

This paper cites Em- bedding learning with events in heterogeneous information networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Em- bedding learning with events in heterogeneous information networks,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.734846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.734846Z digest=sha256:346fd1ebdb7b84602cf1c953ae4897ead6174a0c1e8fb254c7ecd810240bc8b0

Observation 77507b3a-21eb-4cbe-8d74-3b3e99d47528 · outbound

This paper cites Large-scale embedding learning in heterogeneous event data,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Large-scale embedding learning in heterogeneous event data,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.814819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.814819Z digest=sha256:fba88776cd652261ceaff68d453b974fd77a34b287f354488385f3f80067202d

Observation 94a02fef-6ffb-4e4b-9cf3-7ac78c8a73b0 · outbound

This paper cites Hypergraph partitioning with embeddings,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph partitioning with embeddings,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:41.932996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:41.932996Z digest=sha256:33ff53c2718f2c08ec948c10153936b3e447f682eb6f87de8d19a8701b3838c0

Observation 797e48fb-7b12-464b-85e2-4b388c54c14c · outbound

This paper cites Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.059542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.059542Z digest=sha256:3a1a7e9876fff24804c6342934bbcb5058b97110ff96d55f503cdd9c99674e60

Observation 134ca3f3-34a8-4392-9ff6-c0b8032e3dbe · outbound

This paper cites Learning holistic interactions in lbsns with high-order, dynamic, and multi-role contexts,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Learning holistic interactions in lbsns with high-order, dynamic, and multi-role contexts,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.151144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.151144Z digest=sha256:31760997f73b7e10ddd971434701a8fbb06aa3bcfb0418838c5ad582e435e7d4

Observation e8c7cd36-0d78-45de-aa48-64cd28344aa9 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Efficient Estimation of Word Representations in Vector Space

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.260703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.260703Z digest=sha256:5e00f9ef7f836a6cd844852fba1d9f35f762e76e2d992efc3dd7e2056018608c

Observation 8037b59e-5160-4cd3-92ed-e48cd13a53f1 · outbound

This paper cites Hyper2vec: Biased random walk for hyper-network embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hyper2vec: Biased random walk for hyper-network embedding,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.357277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.357277Z digest=sha256:200be369a0c7ea994432e3bcda0392a22b99b8813a3b13b3374aef059786ed81

Observation f0bfa729-22b9-4061-9db7-bd3b7311a4e9 · outbound

This paper cites Social-guided representation learning for images via deep heterogeneous hypergraph embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Social-guided representation learning for images via deep heterogeneous hypergraph embedding,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.449957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.449957Z digest=sha256:db8c33bb3658b8dff96dfade3982fc78b69f9a2bb4aa9876a8764a7944ebfa3d

Observation 922b9012-c16c-4ed9-883b-6be68d53b87a · outbound

This paper cites Music recommendation via hypergraph embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Music recommendation via hypergraph embedding,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.545173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.545173Z digest=sha256:a5472b3c520d61a00c4336024c46386718c5a8e8aa14e755442b91f8254eecfb

Observation 6aff9f8c-a7aa-4ec1-ae30-1e2d993398b4 · outbound

This paper cites Hyper-SAGNN: a self-attention based graph neural network for hypergraphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hyper-SAGNN: a self-attention based graph neural network for hypergraphs

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.647393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.647393Z digest=sha256:b10a4aea45b3eb57d3b40a0422b1a656020f504e28dae04f512c4b4539595e2e

Observation cb8af8cd-709f-4178-a426-7773cb5e3b50 · outbound

This paper cites Hypernetwork representation learning with the set constraint,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypernetwork representation learning with the set constraint,

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.748905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.748905Z digest=sha256:de1e717d0098555d8603eb7fe5b78cbe9193aac923e4bead402cb1db912f308f

Observation 59888018-bcb0-4fb8-a701-2571ef0e67b3 · outbound

This paper cites Deepwalk: Online learning of social representations,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Deepwalk: Online learning of social representations,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:42.926308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:42.926308Z digest=sha256:582ebde198b1ff288c67b027d85aeb73c107beafcf14780730348e993baec763

Observation 5a37275c-b538-40d9-99c5-f03905ad40fc · outbound

This paper cites Line: Large-scale information network embedding,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Line: Large-scale information network embedding,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.062769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.062769Z digest=sha256:d9421cca972a169ae3bfa64de2e7e6e1d2dfc79b36ac3943d21d122224b167c0

Observation 5bad7ed2-44d5-4ddd-ac87-b03318ac56f2 · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods node2vec: Scalable feature learning for networks,

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.179646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.179646Z digest=sha256:478182bb008c07e7377f5a0b649134686ae2276ef453ae001ab98780e532d2d2

Observation b55cc845-44a4-40e7-8019-9e060983f495 · outbound

This paper cites Hypergraph neural networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph neural networks,

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.335643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.335643Z digest=sha256:ee3f7bc8e635b2a48e6b6186e75ad290ac5197b900edd31b793382a086194af4

Observation 0ca4d192-cc5d-43c2-9228-c0b640c3f9b5 · outbound

This paper cites HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:09.846316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:43.470558Z digest=sha256:ca4382c5e054cec4b1917542e2ee56c7d0794dc4d553a41eb6abd61a7ddc6eea

Observation 11cedf0d-6ac2-42e6-9069-09656b1bd345 · outbound

This paper cites Heterogeneous hypergraph embedding for graph classification,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Heterogeneous hypergraph embedding for graph classification,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.596733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.596733Z digest=sha256:d9db6fc718365240714e4b94d69d8798ed95016d83368c51af4f112ccfc27967

Observation fbfa0a52-675f-4d3a-91ce-01a71ea4f4dc · outbound

This paper cites Adahgnn: Adaptive hypergraph neural networks for multi-label image classification,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Adahgnn: Adaptive hypergraph neural networks for multi-label image classification,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.725577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.725577Z digest=sha256:11df98141c1deeee8c899714b77d4b75048c689ca8f01e6001434293aa881515

Observation 9e61fb15-b699-4527-9c63-7af5faa0d6a9 · outbound

This paper cites UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:43.858739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:43.858739Z digest=sha256:04f7a4582a8ec0e8bbb75655033d2fbe49171f5507f6898df3d21c6928f603a4

Observation 4ee1ec50-38f6-4aac-a815-53f1272f165b · outbound

This paper cites Joint personalized search and recommendation with hypergraph convolutional networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Joint personalized search and recommendation with hypergraph convolutional networks,

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.008459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.008459Z digest=sha256:1f3b2140f809c546e48f1e8ac336ffdf4212c3afd79c629b4910e9e2e43453fe

Observation f640a2a4-eead-4b87-b281-5113fe1cd947 · outbound

This paper cites HNHN: Hypergraph Networks with Hyperedge Neurons.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods HNHN: Hypergraph Networks with Hyperedge Neurons

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.080260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.080260Z digest=sha256:6805dad753dfec0e845de00bd6317be2f241d990350fcb15ea9a242c0f439738

Observation 0c3a10e2-306d-45d7-a779-2781a0253d0f · outbound

This paper cites Hypergraph convolutional recurrent neural network,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph convolutional recurrent neural network,

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.219410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.219410Z digest=sha256:5742548c3da2f1247e0d243a41ec88deeddeae327d686ae46eb7f4014d3796c2

Observation 1b34c537-8e9e-4a32-97dd-bfe4b1448bca · outbound

This paper cites Edge repre- sentation learning with hypergraphs,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Edge repre- sentation learning with hypergraphs,

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.342233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.342233Z digest=sha256:01bbd80b4e0652b8cb939bbdc512e76ebdca84a89414440f3700964b1772fc4a

Observation b7c4febb-8017-46b4-9c02-7be29125f216 · outbound

This paper cites Knowledge-aware hypergraph neural network for recommender sys- tems,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Knowledge-aware hypergraph neural network for recommender sys- tems,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.506985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.506985Z digest=sha256:8b7bcf37484c43c002985508c346be3f3aa93ccdd66f3ce627dd1e2102f6b7ad

Observation 9784a179-1e5f-4a53-8a6d-9e797a7325b5 · outbound

This paper cites Self-supervised hypergraph convolutional networks for session-based recommenda- tion,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Self-supervised hypergraph convolutional networks for session-based recommenda- tion,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.635841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.635841Z digest=sha256:61ff1a7602397349712bb42b687511880e2bad3523b4969cb363f0edf78f607e

Observation 22b9f5fa-e0ea-4229-83da-306847009afa · outbound

This paper cites Self- supervised multi-channel hypergraph convolutional network for social recommendation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Self- supervised multi-channel hypergraph convolutional network for social recommendation,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.769869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.769869Z digest=sha256:415b8db887620dd3fa24744e3f9422f184e2a85bbe92307a60ed6f7c6fcacc82

Observation 93a2b463-f45f-41b2-a1b2-c1b44eaffd04 · outbound

This paper cites Heterogeneous graph attention network,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Heterogeneous graph attention network,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:44.920400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:44.920400Z digest=sha256:48db7e6809ee76d7fa368ad539e1130d7cc7dc39c79aeafb4c579401b8008e81

Observation 4a4c6727-12c2-444c-b447-85b624009810 · outbound

This paper cites Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:09.656020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:18:45.084913Z digest=sha256:aba3881c175021a72363b2b9d8d3998535220134c5ebc0a85b57a01c0dab8c51

Observation f82c7a0c-c5c7-4ad0-be01-50fb2b3acd16 · outbound

This paper cites Session-based recommen- dation with hypergraph attention networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Session-based recommen- dation with hypergraph attention networks,

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:45.239285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:45.239285Z digest=sha256:3cfbb4fe90756d77ddf401442d38d16c93ea1e2dcbc3a8b4d1b615fbbfb4e481

Observation 1c03ad88-968d-40fb-bdfb-dc2fdcf22cf9 · outbound

This paper cites Hypergraph neural networks with attention mechanism for session-based recommendation,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph neural networks with attention mechanism for session-based recommendation,

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:45.373546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:45.373546Z digest=sha256:64a46bc9f263539a75e2c159d91fad656a23e5dfcc18caf46b2f80ec3c385919

Observation db8238dd-6d0c-45c9-98cc-467cc7e5c5ec · outbound

This paper cites Hypergraph attention networks,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Hypergraph attention networks,

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:45.480795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:45.480795Z digest=sha256:561294ee4f565a04d93e905588a0e755ec516542267fb5453e2344b95c27f39d

Observation f9654797-f387-468d-8775-781e1c8cf8f9 · outbound

This paper cites Dh-hgcn: dual homogeneity hy- pergraph convolutional network for multiple social recommendations,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Dh-hgcn: dual homogeneity hy- pergraph convolutional network for multiple social recommendations,

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:45.574824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:45.574824Z digest=sha256:a96f6878c858d78ba7bede244c4a2b5f638f12a62a2452db068757180e4a08bf

Observation 2c5e47b5-9f8b-4581-bddc-f7b29b1e2c4f · outbound

This paper cites Directed hypergraph attention network for traffic forecasting,.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Directed hypergraph attention network for traffic forecasting,

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:45.685359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:45.685359Z digest=sha256:ae65bc39f002b5b3debaa62498bc7034b53c201aa37cea5c11352eb29256868d

Pith citing papers

No inbound Pith citation observations are available.