Pith. sign in

Paper Citation Record · LEDGER

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs

As of 15 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2501.00743.

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

pith.paper-citation-record.v1
2501.00743 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:52:59.414107Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e19b373-b409-43e9-93a3-da0614f5f736 · outbound

This paper cites Smoothness sensor: Adaptive smoothness-transition graph convolutions for attributed graph clustering,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Smoothness sensor: Adaptive smoothness-transition graph convolutions for attributed graph clustering,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.266957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.164730Z digest=sha256:572a8ef071dcdc3c773f57b71d822cf74a2661ef588d7fd9fa76bd5c2b3547a0

Observation 39adb14a-2d8d-4c08-95f1-50809e65fcd4 · outbound

This paper cites Harnessing multimodal large language models for traffic knowledge graph generation and decision-making,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Harnessing multimodal large language models for traffic knowledge graph generation and decision-making,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.251391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.170198Z digest=sha256:214b6e5c6c231d7bd2d7703f05a5c4643df4a28cb4d60a53e3b4fc81eaf20e1d

Observation 003eb329-d22c-4f24-a598-71a92797f13e · outbound

This paper cites Redundancy is not what you need: An embedding fusion graph auto-encoder for self-supervised graph representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Redundancy is not what you need: An embedding fusion graph auto-encoder for self-supervised graph representation learning,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.175274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.175274Z digest=sha256:c3fec0ad9bda48fb45e5ee8bcbf4b83ac32e944241833000ca6d84a01fd1cf79

Observation 543a8632-f92f-4043-b2a2-61643308081b · outbound

This paper cites Semi-supervised graph structure learning via dual reinforcement of label and prior structure,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Semi-supervised graph structure learning via dual reinforcement of label and prior structure,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.224007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.180536Z digest=sha256:08b0df6a0a7ed27f8cef9e4dd14e425040873087833fe02855afac09263446db

Observation b2818ea2-18cb-4834-b5c5-15f7080bcb4f · outbound

This paper cites Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:52:59.568264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.185227Z digest=sha256:85f8967b67f90e50e50f8e06f0b4e1f66ba3f53a9055eb88f2092651f789f2be

Observation b57d2265-f954-49c0-9e5d-bb16d887d1b0 · outbound

This paper cites Graph representation learning via graphical mutual information maxi- mization,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph representation learning via graphical mutual information maxi- mization,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.206376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.190257Z digest=sha256:01cd3a6a148e754796541cb71c9a3f2a70c4641ef5df88f94d9c77f150439e19

Observation f5bc44f4-8e4b-4889-ad04-680c9e5a027e · outbound

This paper cites A comprehensive survey on imputation of missing data in internet of things,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A comprehensive survey on imputation of missing data in internet of things,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.190949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.195605Z digest=sha256:1f97fed85004ba29ee5da282e8b07fcb850c954ffc172269e9662f22b415e53b

Observation 2157b7ca-de29-4d95-bb3c-7ec4d9072198 · outbound

This paper cites A novel representation learning for dynamic graphs based on graph convolutional networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A novel representation learning for dynamic graphs based on graph convolutional networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.174193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.200076Z digest=sha256:8ee188e7ad16acaf7ef24361852f87164b2bcdc4cb9bd426e4d2b9bc37fc44b4

Observation 66e6625e-861c-43bd-9135-916016b47015 · outbound

This paper cites Scae: Struc- tural contrastive auto-encoder for incomplete multi-view representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Scae: Struc- tural contrastive auto-encoder for incomplete multi-view representation learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.158123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.204774Z digest=sha256:bbad2d245a7ce2b21f383c0f24d4617ea757f15e6124a2f77ac01898bfccbe2f

Observation 9a47dea7-21d6-47ce-91f5-d457e77859eb · outbound

This paper cites Handling missing data with graph representation learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Handling missing data with graph representation learning,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.209538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.209538Z digest=sha256:022a37a84953864bcac4a3f7a45e8c41d27328c6f939b2f7a9395e65d5ec0e48

Observation 6d60c084-cf1d-4487-86f9-386bb37a27c6 · outbound

This paper cites Fair Attribute Completion on Graph with Missing Attributes.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Fair Attribute Completion on Graph with Missing Attributes

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.214152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.214152Z digest=sha256:debf2b95e51b0594f28df8ff4c0c275967ccd741d1f49e13b7e3d544d5760e6c

Observation 62cd1e22-6fd7-4a07-b675-cad0b88db471 · outbound

This paper cites Learning on attribute-missing graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Learning on attribute-missing graphs,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.131633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.219639Z digest=sha256:56e5659aea5c3abe231c1767e554ab9491eb9b85f05491c5b7b1f9746ee02fc7

Observation abfaf1ae-1e81-4847-ae94-c30f5a520fe8 · outbound

This paper cites Accurate node feature estimation with structured variational graph autoencoder,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Accurate node feature estimation with structured variational graph autoencoder,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.224480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.224480Z digest=sha256:9614e9bfa6059417cc1fcebfe6c82c5a48d0fda5a1104365d12e9cde713cd7f9

Observation 6c140f81-84d3-416f-99ff-fc9db59f0c34 · outbound

This paper cites Initializing then refining: A simple graph attribute imputation network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Initializing then refining: A simple graph attribute imputation network,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.229061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.229061Z digest=sha256:6c115bd39bdd30092faf46f9f1c8fcb4a91db46259cbc717ff5bbd000a8e70cb

Observation b2ca24d2-ce8a-455e-8ebd-c4ddb01a53ea · outbound

This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.092641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.233587Z digest=sha256:5b48780b2ff55e6c78b848ba2ddecc478f8e4653284db6775d62f10281ce77c7

Observation 1054d61f-3240-47fb-80e5-27f16af0d3ba · outbound

This paper cites On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.237989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.237989Z digest=sha256:71f47cb4f890ef17ec99ef62ffc0a357ad947e0ec85852b06d2eaad9f124e851

Observation 1c8211eb-c10a-4bf0-89cc-973e3643d9fb · outbound

This paper cites Confidence-Based Feature Imputation for Graphs with Partially Known Features.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Confidence-Based Feature Imputation for Graphs with Partially Known Features

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.242553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.242553Z digest=sha256:fc89126529c27820026dc115932bf43e784d085e6e4af4ec354e9cfa409e1c5d

Observation b745336e-cb6c-4bf7-9ea7-f2e88b1df66b · outbound

This paper cites Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.247546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.247546Z digest=sha256:c701aba8e7b87f7be8989ba55d891a62626a3bc13ec78608919f94d03befd9a7

Observation 071f56d5-ed3b-4d97-98e2-e8ae75236028 · outbound

This paper cites Multiview deep graph infomax to achieve unsupervised graph embedding,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multiview deep graph infomax to achieve unsupervised graph embedding,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.066573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.252313Z digest=sha256:d01c1265cfdea8808f51e42ea91afce9d5f22f59dad06d1f08e46b68ed6c794d

Observation 24bb7931-328c-40d8-8bb3-e7a1d330c514 · outbound

This paper cites Predict then Propagate: Graph Neural Networks meet Personalized PageRank.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.256874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.256874Z digest=sha256:2c005652a0374acde3e84abd6ee834a45d0782fe79de3087158a74f2f5b42d6c

Observation 5f140ee4-a16a-45c7-a492-3a5ec0d6ac1c · outbound

This paper cites A Stochastic Approximation Method,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A Stochastic Approximation Method,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.047212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.261963Z digest=sha256:404acd6ddc861583ac4cf6abb9fbf433637e18c96c2135ad295c652086b6903a

Observation d7b1b527-ccfd-4c54-bf58-4b421e9d51a8 · outbound

This paper cites Navigating networks by using homophily and degree,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Navigating networks by using homophily and degree,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.267161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.267161Z digest=sha256:177c0e4dddd68c82083d66c6ad4a1346689654335b45a39f70c8155d7c2b3fb8

Observation a1378d0f-d5e1-4cae-a91c-60ee8b313cea · outbound

This paper cites A singular value thresholding algorithm for matrix completion,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A singular value thresholding algorithm for matrix completion,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:53:00.007739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.272231Z digest=sha256:67a64bcbc2b854b2b14033ff9948434bd09309cc232b991c6e04ba1e5c4c0fcd

Observation e9277b7f-dbe6-4a59-8b6a-d092d8d7a5d7 · outbound

This paper cites Incomplete multiview spectral clustering with adaptive graph learning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Incomplete multiview spectral clustering with adaptive graph learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.989575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.277079Z digest=sha256:9e1baa95b5d7dd52f772f5362fe7f6da66f80d32d11e66e75d3bda25755bf9b3

Observation 7bc7812c-eabf-47e7-a916-741ad0fc0ba3 · outbound

This paper cites Generalized incomplete multiview clustering with flexible locality structure diffusion,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Generalized incomplete multiview clustering with flexible locality structure diffusion,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.974342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.282377Z digest=sha256:239013b099f3b8d63ac3d32e18c4ad3e56332955f23b13a522520c943e114bfd

Observation 827a7894-1159-42a2-8950-1e2a8cc19654 · outbound

This paper cites Tensor completion-based incomplete multiview clustering,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Tensor completion-based incomplete multiview clustering,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.958441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.286886Z digest=sha256:a5b7436a5d334d7a8ca7d48e41b8cb8e0838b163cd7e4a19bc22b6ac445924ae

Observation d834cc61-1980-4151-a1fa-a97a47ae3d62 · outbound

This paper cites Differentiated anchor quantity assisted incomplete multiview clustering without number-tuning,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Differentiated anchor quantity assisted incomplete multiview clustering without number-tuning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.942898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.291393Z digest=sha256:da5d5de2394c96fc9c8186f6a39646dd124647f71250ae4bf8e79746d6ead4be

Observation 21016627-c813-4797-98fc-62805e561799 · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Gain: Missing data imputation using generative adversarial nets,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.296479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.296479Z digest=sha256:9a547786e8cb14900d2055734ec547b774b71f80fd3472681d998105e8e18971

Observation 213148b0-1b88-499d-824c-f1e05cde810e · outbound

This paper cites Graph recurrent networks with attributed random walks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph recurrent networks with attributed random walks,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.300841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.300841Z digest=sha256:46da2292637405d7363b1ddce8d80972c21fd6e450db89dfcfd967410f85f9d6

Observation 7c4c959c-a339-4964-ba21-db27ecb73fed · outbound

This paper cites Attributed random walk as matrix factorization,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Attributed random walk as matrix factorization,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.305908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.305908Z digest=sha256:4ab1ee4553e926d775bc0566196cf8e7900f357d509a50a256c1f996a2b718cf

Observation 1ed46597-a946-48a5-ab68-457306a5a28f · outbound

This paper cites Missing data imputation with adversarially-trained graph convolutional networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Missing data imputation with adversarially-trained graph convolutional networks,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.895131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.310253Z digest=sha256:6dd719eafd2b44e18f787c3bc902180a7a38c225fb8cda571dde2545344b1373

Observation 07b2e057-0c38-4487-a609-81df617e74e1 · outbound

This paper cites Graph convolutional networks for graphs containing missing features,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph convolutional networks for graphs containing missing features,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.315203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.315203Z digest=sha256:58e11e9fe3460647bb6241e7d3f1207dc9cb03bbb9684684964a1475ff49d30b

Observation 66054a0c-c35d-43d6-b6d9-0017773c045a · outbound

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

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.319724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.319724Z digest=sha256:913c8d94163fb2c4d7b8f0633dabffd0187bcdf7aae939f3aa4c2558f2c53cc3

Observation eab00e04-dc88-4e61-baa6-f1675f0bdf8b · outbound

This paper cites Local computations with proba- bilities on graphical structures and their application to expert systems,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Local computations with proba- bilities on graphical structures and their application to expert systems,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.869767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.324549Z digest=sha256:eb45d91ed3a1c070209c4c3d95cea530e64f8539d7327fc364024f5f7e0e213c

Observation a185ff9f-83ed-48e0-adea-27b46fb0e37f · outbound

This paper cites Amer: A new attribute-missing network embedding approach,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Amer: A new attribute-missing network embedding approach,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.853196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.329011Z digest=sha256:b7375c5db329376326c1094a0d5a6cbaea778eac418decffab7dfec2a1de893f

Observation adb03bd7-5fc0-4b9c-a6b7-1a3d652f0f59 · outbound

This paper cites Handling missing data via max-entropy regularized graph autoencoder,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Handling missing data via max-entropy regularized graph autoencoder,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.836803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.333542Z digest=sha256:cac30a77fb8b6fc0d4c3b541dd1a7afdb11ddc0ad2c7cb55e7fe8f41ea17943b

Observation b62337f5-29c6-429b-8a22-9cce3929abb7 · outbound

This paper cites Csat: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Csat: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.337712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.337712Z digest=sha256:d54747c1f2e97ff278a338ffa15d8d65db01b67f85f0b22a51529cc39456290c

Observation c3bf464d-9b60-4840-b5e4-76b0337c0e63 · outbound

This paper cites Multi-view graph imputation network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Multi-view graph imputation network,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.808255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.341918Z digest=sha256:15633966afef27c3641c5427abf18924565f6f2cd7d91fd9542892abd2b939c3

Observation 9d1e50c8-6e56-4cf0-8a07-1e9a5db43da0 · outbound

This paper cites Pre-training graph neural networks for cold-start users and items representation,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Pre-training graph neural networks for cold-start users and items representation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.790965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.346058Z digest=sha256:3689cd83bcaa7200357af5efbd51f46d42ddb076f6dd5d03e56b0f4bdaf4a558

Observation 850b5630-7bb9-4ae7-88c2-0fcc8b0456c8 · outbound

This paper cites An unified search and recommendation foundation model for cold-start scenario,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs An unified search and recommendation foundation model for cold-start scenario,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.775310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.350418Z digest=sha256:4218f27b3c70d2571cafe5b3d4778a023ce6020f5ddccd8bc85359373150d728

Observation f7958680-9c35-4e66-b099-a32eafbf0b7a · outbound

This paper cites User cold-start recom- mendation via inductive heterogeneous graph neural network,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs User cold-start recom- mendation via inductive heterogeneous graph neural network,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.759265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.355055Z digest=sha256:e74b3159a4a8943de54b1e641027661b0caba928221caf12f1facaff4cbef347

Observation fd4859f9-dd72-496e-b6fc-5a491ac7d0ff · outbound

This paper cites Extract the knowledge of graph neural net- works and go beyond it: An effective knowledge distillation framework,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Extract the knowledge of graph neural net- works and go beyond it: An effective knowledge distillation framework,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.743359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.359646Z digest=sha256:8228102e0062749c6cda4ab51d8fa5edb4d4124ce900a3c6b5b63db798ee92f4

Observation fdb789ac-0809-47a1-af22-5f4892a5cf08 · outbound

This paper cites Aligning distillation for cold-start item recommendation,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Aligning distillation for cold-start item recommendation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.727086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.363982Z digest=sha256:62e9bf4c0aff329852e49977f862b0326e3d4c95a41c496652d8c3e687fc0101

Observation 71def7f0-a723-4fbd-ad6f-b5b654d7764e · outbound

This paper cites A variational method in image recovery,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A variational method in image recovery,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.709442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.368561Z digest=sha256:407df5dbd9f1c690e7151c71301ac68fbd4edfa61e6b825e5b3611a675c1fc98

Observation 7f3ee441-c181-4d1b-8bf8-7c5fd4d5c2bb · outbound

This paper cites A survey of shape analysis techniques,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs A survey of shape analysis techniques,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.694348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.373103Z digest=sha256:2ffa5516677794f6b971177fa19a903b2f9e62d2d5344cf7aaa8ee59542c799c

Observation 814b84c1-08f6-41a2-a060-251e9f5eb09b · outbound

This paper cites an unresolved cited work.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:52:59.678350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.377531Z digest=sha256:1c06fea67ef9d1c0e2f89f88a4b1498236085af33f2811bf0c25a66cee9650c4

Observation e6f7cdd5-2875-4faf-a39f-a80c4b0a0e43 · outbound

This paper cites Sur les op ´erations dans les ensembles abstraits et leur application aux ´equations int ´egrales,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Sur les op ´erations dans les ensembles abstraits et leur application aux ´equations int ´egrales,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.662803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.381890Z digest=sha256:3c50c025ef277ed4e33edb80f4ffb80743c4c0052430984c6f63b7c4d5c2d5d2

Observation 7070d830-be0d-4189-915f-6cc208cb53f3 · outbound

This paper cites Graph Attention Networks.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Graph Attention Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.386274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.386274Z digest=sha256:60d5b661a5844520f3f933e616d249723528fb5a1d9f8f5bc00d28a1def26575

Observation f26c05c5-973a-4872-bddf-8b6a4acf1c61 · outbound

This paper cites Simplifying graph convolutional networks,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Simplifying graph convolutional networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.644120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.390999Z digest=sha256:65071ee0446bd3343fbb7e303658a06180a64b4b18b3e9e05350db65369c3b0a

Observation 676a0b03-17c0-4d15-8d41-af26ed6f312f · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Revisiting semi-supervised learning with graph embeddings,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.395628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.395628Z digest=sha256:ca7420055649c38171e51b1319e55a8cafe700be3f40a3409e1b5480cda4a95e

Observation 265749f9-4c00-4dad-90dc-289a736497e1 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Pitfalls of Graph Neural Network Evaluation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T22:52:59.400170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:52:59.400170Z digest=sha256:34840b016959c1c5a318e6d1144f708aa3c633a45f93de8a98bbd3880fca82d8

Observation f9c8ec62-4848-495b-9517-3608e4db10aa · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Open graph benchmark: Datasets for machine learning on graphs,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.616190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.405206Z digest=sha256:f4cbd8d59e7be437dc7b059fb1009eea0e265e5b384cf957f337168579915e90

Observation e34562ad-fcc3-455f-beba-93ae0d2dd66e · outbound

This paper cites Inductive representation learning on large graphs,.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Inductive representation learning on large graphs,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:52:59.599341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.409664Z digest=sha256:773ae6a99cdd88e5ef5fec7f57d985a271484e6dec26e1e136eee447607361d2

Observation 2dec4b8a-e51a-4f5c-b49f-4f714867f3a5 · outbound

This paper cites an unresolved cited work.

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Unresolved cited work

Reference 2009

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:52:59.583869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T22:52:59.414107Z digest=sha256:17d4082ba3ca22ba6cd23211269d6adc178a83ef94b89d39d74f3adcc3b68040

Pith citing papers

No inbound Pith citation observations are available.