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Paper Citation Record · LEDGER

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.08743.

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

pith.paper-citation-record.v1
2506.08743 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:37.715692Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

49 of 49 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab3daa76-6a0f-42e1-8ad0-8b585ef33d93 · outbound

This paper cites Pattern Recognit.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Pattern Recognit

Reference 1

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Observation 1d995e24-061e-4089-a35d-9fb054a374e7 · outbound

This paper cites Graph Convolutional Matrix Completion.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Graph Convolutional Matrix Completion

Reference 2

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This paper cites Advances in neural information processing systems26(2013).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Advances in neural information processing systems26(2013)

Reference 3

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This paper cites In: Journal of Physics.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Journal of Physics

Reference 4

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Observation f54508c2-48e1-48a8-8d88-90c92e1138f7 · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Reference 5

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Observation 962c8676-98ff-4420-ad7e-09520b52224a · outbound

This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Com- putational Linguistics: Human Language Technologies.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Com- putational Linguistics: Human Language Technologies

Reference 6

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Observation 57550e01-bd57-4ad3-9951-c3e46bca654f · outbound

This paper cites an unresolved cited work.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Unresolved cited work

Reference 7

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Observation ab500c02-60be-4e1f-9471-4d1ea8fe2ef6 · outbound

This paper cites Semantic Web9(1), 77–129 (2018), https://doi.org/10.3233/SW-170275.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Semantic Web9(1), 77–129 (2018), https://doi.org/10.3233/SW-170275

Reference 8

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Observation 4d8a4ad4-a055-4e46-9388-82e222f48ee9 · outbound

This paper cites In: Proceedings of the 22nd International Semantic Web Conference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 22nd International Semantic Web Conference

Reference 9

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Observation 5a5f3001-932f-409f-b88b-58194df3cafb · outbound

This paper cites In: Proceedings of the 22nd Inter- national Semantic Web Conference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 22nd Inter- national Semantic Web Conference

Reference 10

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Observation b2aa6484-84ba-43f7-986a-d52fe5d15643 · outbound

This paper cites In: Proceedings of the 2024 International Semantic Web Conference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 2024 International Semantic Web Conference

Reference 11

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Observation 527af646-8e51-45b9-937f-bda94ea389de · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Fast Graph Representation Learning with PyTorch Geometric

Reference 12

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Observation c1662b31-d2d1-4e8c-b2a8-6f8a22a0743a · outbound

This paper cites In: Proceedings of the 2020 Web Conference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 2020 Web Conference

Reference 13

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Observation 02ea0639-d4be-4a22-bb21-c525a6690d52 · outbound

This paper cites ACM Transactions on Recommender Systems 1(1), 1–51 (2023).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems ACM Transactions on Recommender Systems 1(1), 1–51 (2023)

Reference 14

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Observation 54a24566-b1d3-436d-b4fc-3950371e6fb8 · outbound

This paper cites In: Proceedings of the 16th ACM Conference on Recommender Systems.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 16th ACM Conference on Recommender Systems

Reference 15

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Observation 3e5e3b3e-bb6b-42fb-b316-69299ced9acd · outbound

This paper cites an unresolved cited work.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Unresolved cited work

Reference 16

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This paper cites IEEE Transactions on Knowledge and Data Engineering34(8), 3549–3568 (2020).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems IEEE Transactions on Knowledge and Data Engineering34(8), 3549–3568 (2020)

Reference 17

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Observation 9ade7a9d-fe5e-4ccf-8899-134217b056ae · outbound

This paper cites Advances in neural information processing systems30(2017).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Advances in neural information processing systems30(2017)

Reference 18

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Observation 3326e652-c109-4c02-8bd7-3dee144da62a · outbound

This paper cites Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Reference 19

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Observation 524903a5-ff1a-4a4e-a1df-1c98cac72418 · outbound

This paper cites Advances in neural information processing systems33, 22118–22133 (2020).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Advances in neural information processing systems33, 22118–22133 (2020)

Reference 20

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Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Pro- ceedings of the 2020 Web Conference

Reference 21

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

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This paper cites https://doi.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems https://doi

Reference 23

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This paper cites https: //doi.org/10.5281/zenodo.10299428 (2023).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems https: //doi.org/10.5281/zenodo.10299428 (2023)

Reference 24

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Observation b8613108-74e7-45cd-89d9-af5e2518de58 · outbound

This paper cites Long-range Meta-path Search on Large-scale Heterogeneous Graphs.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Reference 25

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Observation 06ece6f9-404b-4366-b8e8-84d030b0a471 · outbound

This paper cites In: ACM SIGKDD Conference on Knowledge Discovery & Data Mining.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites https://www.w3.org/TR/ rdf-primer/ (2004), [Accessed 04-09-2024].

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems https://www.w3.org/TR/ rdf-primer/ (2004), [Accessed 04-09-2024]

Reference 27

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Observation f4eb9173-0659-43cd-a1b7-a7fc4cd7566b · outbound

This paper cites Current Research in Structural Biology7, 100122 (2024).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Current Research in Structural Biology7, 100122 (2024)

Reference 28

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Observation a5999e26-dca1-45d1-ba83-669a0ca76dd7 · outbound

This paper cites Semantic Web11(1), 101–113 (2020).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Semantic Web11(1), 101–113 (2020)

Reference 29

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Observation 1cca5ada-1a02-4c3b-9462-215562a97f54 · outbound

This paper cites an unresolved cited work.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation 787d8699-d5c9-49a3-901c-2d545befbed4 · outbound

This paper cites Nucleic acids research51(D1), D638–D646 (2023).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Nucleic acids research51(D1), D638–D646 (2023)

Reference 31

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Source-reported events for the cited work

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Observation 06430a7a-21bb-4e9d-9aba-c9c00dcb9090 · outbound

This paper cites In: International conference on machine learning.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: International conference on machine learning

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1dab544b-598e-4533-9afb-f4d66e153b6d · outbound

This paper cites Graph Attention Networks.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Graph Attention Networks

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 63baae27-4d2e-475c-8d54-9b8664ab168d · outbound

This paper cites In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.491601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e5dd85bb-b0e7-4996-8659-633f5b5cef3b · outbound

This paper cites In: Proceedings of the World Wide Web Con- ference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the World Wide Web Con- ference

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.452004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.657080Z digest=sha256:944fb29bbf6a9ac4e8e78764c8a65c135b1cb01c6785a52a64d025f57e4965af

Observation 59519d1f-530d-407e-bb07-d4d6d98965aa · outbound

This paper cites In: Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.661333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.661333Z digest=sha256:ee7a40e446dae5c79c43fe143a1d80f3ac2e53819559f5e3302ccb32f3928c25

Observation 3cb6acce-7857-41fe-8347-5a4f9d84c4dc · outbound

This paper cites In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.665655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.665655Z digest=sha256:540558e03bb0b81332e5b24bc8a07bbca743ec340d9857d14eabad4ae480bc06

Observation fa3f5a85-d6e2-430f-96bb-0df2d605ca77 · outbound

This paper cites In: World Wide Conference.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: World Wide Conference

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.410467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.669726Z digest=sha256:c8c71f307a96e32ec4785b21c9776c664e71f0928d29c799a83370b9a0df7eef

Observation e254372e-de38-4858-a285-649f22be3e31 · outbound

This paper cites ACM Computing Surveys55(5), 1–37 (2022).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems ACM Computing Surveys55(5), 1–37 (2022)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.673884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.673884Z digest=sha256:4ef516f2eb3a52fcea8d4e4ccd4d0a08150bcb1834cb7252e12392233936ee3f

Observation 12a749a3-cb5e-4584-a848-ac9076d2defd · outbound

This paper cites LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.677879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.677879Z digest=sha256:e382168a60e89db5bccbf615c51801ca49ffac5cb5aae1a84f48161ec979767d

Observation 42477678-7883-40a9-9d38-773f8edc6dc5 · outbound

This paper cites Embedding Entities and Relations for Learning and Inference in Knowledge Bases.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.682054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.682054Z digest=sha256:f9ff04d44ca8b60568811b4ac0df0f9aaafa32e36ddf5ca09de596d1b0c6e1e5

Observation 234f3e2c-70ee-4ffc-9468-5495f20e71ab · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intel- ligence.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the AAAI Conference on Artificial Intel- ligence

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.383495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.686122Z digest=sha256:8188f420010ea068aedc8fa0604eac3eac6c66ea68ee5469ef147b50d1d061ab

Observation 8df4ac33-e450-47ae-9ffb-68c658519cda · outbound

This paper cites Knowledge-Based Systems204, 106194 (2020).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Knowledge-Based Systems204, 106194 (2020)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.368548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.689981Z digest=sha256:0a7b7f3cc9b914e46e74cfe33ff2a81e9e77f8f50535e9c16f71fed86d4ac262

Observation bd34416f-ea33-411c-9903-e460a02731ec · outbound

This paper cites In: Proceedings of the 24th ACM SIGKDD International Conference on Knowl- edge Discovery & Data Mining.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: Proceedings of the 24th ACM SIGKDD International Conference on Knowl- edge Discovery & Data Mining

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.694462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.694462Z digest=sha256:9c954acfd6d0b330d04ebdef92451130bdf15f9a6f2367a4ed947c5bb6350f83

Observation 93acea8d-5d06-4599-b0d6-31d7ce2f3598 · outbound

This paper cites Scalable Graph Neural Networks for Heterogeneous Graphs.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Scalable Graph Neural Networks for Heterogeneous Graphs

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:06:37.866953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.698780Z digest=sha256:3eab83eabf26484d28f1c19eb0213b029b456b8b72fedb394d8eba2c8e0d15c0

Observation 6e8da0c8-ac2d-49be-ac01-362bbab47ff8 · outbound

This paper cites Nucleic acids research52(D1) (2024).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Nucleic acids research52(D1) (2024)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.353335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.703033Z digest=sha256:a2f8b6af8b8f3f50744a2c4d54a0874bfc8f29f15a76c8a7a0f287b7675f3627

Observation 4773780a-81df-4917-b9f2-98f61c53d07a · outbound

This paper cites In: ACM SIGKDD international conference on knowledge discov- ery & data mining.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems In: ACM SIGKDD international conference on knowledge discov- ery & data mining

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:06:38.338416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:06:37.707493Z digest=sha256:6198580676f823f3d313677f03660750d3ef75a94d7d8f26ae9d8fd9c63b67d2

Observation b9d2ef6f-aafc-491a-8919-f90aed1f18c3 · outbound

This paper cites Inductive Matrix Completion Based on Graph Neural Networks.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Inductive Matrix Completion Based on Graph Neural Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.711552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.711552Z digest=sha256:ba912c4f3e4d4ec348ae5463d026a09f6db0e36ca9d8a588945cc7537d75be6a

Observation 0304b647-bf5f-4260-b6f5-b0385678e4e0 · outbound

This paper cites AI open1, 57–81 (2020).

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems AI open1, 57–81 (2020)

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.715692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.715692Z digest=sha256:516ee88b41b259a37ef968497853e6f19f78df3c3f807d0981731d7344d2456f

Pith citing papers

No inbound Pith citation observations are available.