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Paper Citation Record · LEDGER

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.13368.

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

pith.paper-citation-record.v1
2507.13368 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:59:23.894061Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

68 of 68 outbound references displayed

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  • verified fuzzy53
  • unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88373e66-2315-4e5f-9270-9b28359518ce · outbound

This paper cites write newline.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation write newline

Reference 1

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Observation c269de7e-7a82-4e88-9ff8-4c76a5aec972 · outbound

This paper cites Fastgcn: Fast learning with graph convolutional networks via importance sampling.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Fastgcn: Fast learning with graph convolutional networks via importance sampling

Reference 2

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Observation bb5d1240-97e0-4cd8-9fed-0fd1c0109fe1 · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 3

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Observation 0dfa3fda-c130-4582-84f9-7c986948ccb2 · outbound

This paper cites Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks

Reference 4

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Observation 2b967821-6a09-40a5-861b-732326bc15c6 · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 1deb0885-c824-46e4-b319-53a27030642a · outbound

This paper cites S3gc: scalable self-supervised graph clustering.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation S3gc: scalable self-supervised graph clustering

Reference 6

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Observation 9480b6e0-7d14-414c-b84b-e0586a96c751 · outbound

This paper cites R., and Jin, H.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation R., and Jin, H

Reference 7

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Source-reported events for the cited work

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Observation 1ae47a87-0995-4e4b-bc8a-1322240ecc9e · outbound

This paper cites Explicit view-labels matter: A multifacet complementarity study of multi-view clustering.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Explicit view-labels matter: A multifacet complementarity study of multi-view clustering

Reference 8

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Source-reported events for the cited work

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Observation fe2c3757-390d-4b6e-832e-22db03fccfed · outbound

This paper cites Attributed graph clustering with dual redundancy reduction.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Attributed graph clustering with dual redundancy reduction

Reference 9

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Observation 6e3a2f1f-c2b7-42aa-a1c0-a0fa9f5ab739 · outbound

This paper cites Deep fusion clustering network with reliable structure preservation.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Deep fusion clustering network with reliable structure preservation

Reference 10

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Observation 960c8be7-0e2f-4f2e-973c-caeadb2269ac · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Bootstrap your own latent-a new approach to self-supervised learning

Reference 11

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Observation dc84b63d-3f10-4292-a815-50970f29ddb0 · outbound

This paper cites Structure-adaptive multi-view graph clustering for remote sensing data.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Structure-adaptive multi-view graph clustering for remote sensing data

Reference 12

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Source-reported events for the cited work

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Observation d8ea1e82-cc72-4c65-9506-300a82589f3f · outbound

This paper cites Inductive representation learning on large graphs.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Inductive representation learning on large graphs

Reference 13

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Source-reported events for the cited work

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Observation 08da955a-a181-4301-8d33-37ef54f1aebc · outbound

This paper cites and Khasahmadi, A.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation and Khasahmadi, A

Reference 14

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Source-reported events for the cited work

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Observation aff28b7f-0385-40cd-af9b-4eb13449c9aa · outbound

This paper cites T2-gnn: Graph neural networks for graphs with incomplete features and structure via teacher-student distillation.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation T2-gnn: Graph neural networks for graphs with incomplete features and structure via teacher-student distillation

Reference 15

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Source-reported events for the cited work

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Observation fa599941-0f0a-49a3-acf1-b6ff90d65c47 · outbound

This paper cites Incomplete Graph Representation and Learning via Partial Graph Neural Networks.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Incomplete Graph Representation and Learning via Partial Graph Neural Networks

Reference 16

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Observation 39f5ca9a-104e-4651-ab80-f89b9fcabf4b · outbound

This paper cites A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges

Reference 17

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Source-reported events for the cited work

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Observation 5a5b9a82-190c-47d8-ab0e-61c1be1c6326 · outbound

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

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Csat: Contrastive sampling-aggregating transformer for community detection in attribute-missing networks

Reference 18

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Observation 37a9c301-febc-4c00-8489-239a68a23a2f · outbound

This paper cites L., Gupta, V., Bhalerao, O., and Lim, S.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation L., Gupta, V., Bhalerao, O., and Lim, S

Reference 19

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Federated graph-level clustering network

Reference 20

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Deep graph clustering via dual correlation reduction

Reference 21

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Observation c508602a-69a5-442a-a7b2-c760fd3616f4 · outbound

This paper cites A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource

Reference 22

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Observation c7bb5236-2e57-4b5a-b651-66799b7a1fc8 · outbound

This paper cites Towards unsupervised deep graph structure learning.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Towards unsupervised deep graph structure learning

Reference 23

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Observation 781ac55c-ec84-4bb6-8e0b-5ad124c41bf3 · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 24

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Observation 22054e77-0608-45fc-b3a8-9e034e2e2ef1 · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 25

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Simple contrastive graph clustering

Reference 26

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Observation 6dd0edcc-0f17-45b3-b820-9bee8c81a8ea · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Hard sample aware network for contrastive deep graph clustering

Reference 27

Resolution
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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Improved dual correlation reduction network

Reference 28

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Observation 322285b3-65ce-4632-bd8c-4994e755e380 · outbound

This paper cites End-to-end learnable clustering for intent learning in recommendation.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation End-to-end learnable clustering for intent learning in recommendation

Reference 29

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Source-reported events for the cited work

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Observation 1a7856db-bf57-4bd8-9b75-92aa2363ae45 · outbound

This paper cites Identify then recommend: Towards unsupervised group recommendation.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Identify then recommend: Towards unsupervised group recommendation

Reference 30

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Source-reported events for the cited work

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Observation 2e41eb31-52f7-4088-bfde-f3e5c705a96a · outbound

This paper cites Learning graph embedding with adversarial training methods.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Learning graph embedding with adversarial training methods

Reference 31

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Observation 5e9b4ea2-7a80-44be-b4d6-8e244b00a23e · outbound

This paper cites J., Lee, K., and Choi, J.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation J., Lee, K., and Choi, J

Reference 32

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T18:59:16.817104Z digest=sha256:9599a4adcbc95333f8d50052ad8dd1411c95f2def2b1854cdcf0c19548a7e867

Observation 8a581dc4-dd59-441a-93e4-7b81f09b8418 · outbound

This paper cites A., Kim, S., Du, F., Ahmed, N., and Faloutsos, C.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation A., Kim, S., Du, F., Ahmed, N., and Faloutsos, C

Reference 33

Resolution
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Source-reported events for the cited work

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Observation 3b37185d-ae5b-48dc-a2e7-f2776583cdae · outbound

This paper cites InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 34

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Source-reported events for the cited work

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Observation d9db8099-55b3-4b14-b29e-d27eb1cc94c7 · outbound

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 31405748-90fe-4c7e-9d9f-27b1c4df088c · outbound

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

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Graph convolutional networks for graphs containing missing features

Reference 36

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raw_fallback, observed 2026-08-06T18:59:31.494082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:17.568417Z digest=sha256:d3b7d5a42549ed5e4329ebaa672760c45997eb7f957b9dc4328ff3d989ea5643

Observation b90623ab-8c32-4591-bd33-e93bf59a1a41 · outbound

This paper cites G., Azabou, M., Dyer, E.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation G., Azabou, M., Dyer, E

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:31.234520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:17.799263Z digest=sha256:c509a25a75abc62963639fd37ce4f0f0654d3178dcd47cc6511b6fae287f936a

Observation 25dc427a-48e0-4a25-9862-d8e8027d0d9d · outbound

This paper cites Deep fusion clustering network.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Deep fusion clustering network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:31.006167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.013100Z digest=sha256:3c58b9c591581b40447828eaae52dfa77b5f56e812cc932e1ea15a9358a91015

Observation 76baa7be-ead0-4c91-a08c-fe63dbb26339 · outbound

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

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Initializing then refining: A simple graph attribute imputation network

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:30.727640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.169181Z digest=sha256:0f52486ad57b9da8452371ea7c9ebbc05e648fc3a68ab3b1cab16a0fd967fc85

Observation 318f5110-0b9e-4119-8790-4f017442863a · outbound

This paper cites Attribute-missing graph clustering network.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Attribute-missing graph clustering network

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:30.513104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.349093Z digest=sha256:837effeaa213e05c301c421f4871a40611e4bb607ef5a0441ae14377c0293f11

Observation 93b08083-3ce2-4967-acd5-ef316e2e5050 · outbound

This paper cites Rare: Robust masked graph autoencoder.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Rare: Robust masked graph autoencoder

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:30.206844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.494496Z digest=sha256:55822668007f5f2a59e71aff3bda6ee54c1ca8752cbd1e96248455e89daeb86d

Observation 6cf9fec7-d491-431a-9b48-0e6f05167e42 · outbound

This paper cites Hierarchically contrastive hard sample mining for graph self-supervised pre-training.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Hierarchically contrastive hard sample mining for graph self-supervised pre-training

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.928316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.638824Z digest=sha256:989bde014138f43549196cd2302840660c98a427be64b59a12d34346079a436d

Observation da2d2175-1dd4-47a3-9dde-739854069892 · outbound

This paper cites Revisiting initializing then refining: An incomplete and missing graph imputation network.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Revisiting initializing then refining: An incomplete and missing graph imputation network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.675628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:18.884227Z digest=sha256:c34307cc7c277df92ca50ace91d93be57963ea9bc965cb27bb27f3618187c1ae

Observation 2bf30c4e-3ef5-4375-823f-787532eb382f · outbound

This paper cites Wage: Weight-sharing attribute-missing graph autoencoder.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Wage: Weight-sharing attribute-missing graph autoencoder

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.499578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:19.106788Z digest=sha256:996a760daedf61533702b215067f03bcf92d0b78627e54256e6e855a9319fd64

Observation 87c5c475-b398-400d-839c-97d46491474c · outbound

This paper cites Confidence-based feature imputation for graphs with partially known features.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Confidence-based feature imputation for graphs with partially known features

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.369386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:19.324427Z digest=sha256:d10e9e8c7b0636a7b601edc2964b26152e5d65a3a4a2806f54bdf54892025303

Observation cc47b4dc-18f9-4186-b6fe-4a914efc060f · outbound

This paper cites and Hinton, G.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation and Hinton, G

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:19.541287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:19.541287Z digest=sha256:0e21f61e5eb2c6dbc036fea44ed2be0df698b5e7cb1158c7225203b58de19fe8

Observation 161d1ca1-dfbe-43ff-a7a5-80302a1f45f8 · outbound

This paper cites L., Li \`o , P., Bengio, Y., and Hjelm, R.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation L., Li \`o , P., Bengio, Y., and Hjelm, R

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.224394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:19.710860Z digest=sha256:c2cb08b49e5f3975addfc42df06a96f2867c3680912181cc51ca8c4a0ff573d8

Observation 3a33ae68-55a7-46e0-9787-49ba3fa7fd48 · outbound

This paper cites Continual multi-view clustering.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Continual multi-view clustering

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:29.027496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:19.880568Z digest=sha256:59a3d60486f912500e5829b12c5b27986f8caac71b07f80f4184bd21268ba9d3

Observation c9d18067-f1df-4028-8172-0571d270e6fd · outbound

This paper cites One-step multi-view clustering with diverse representation.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation One-step multi-view clustering with diverse representation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.859674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:20.079796Z digest=sha256:48c21dc284396110fec5e17089f6b978e8f0d18e4e8b9872106dd9568eabe1fe

Observation f0f26776-f1c8-4a50-84b3-c60c2a46885b · outbound

This paper cites Contrastive continual multiview clustering with filtered structural fusion.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Contrastive continual multiview clustering with filtered structural fusion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.721714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:20.237925Z digest=sha256:241163c1199773f4f7564fd26f05f684b09151e17a15e4226d4bafe8f9bf42e1

Observation 127cfff5-6e0b-44ef-9a03-c061f41ac260 · outbound

This paper cites Fast continual multi-view clustering with incomplete views.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Fast continual multi-view clustering with incomplete views

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.586442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:20.530192Z digest=sha256:b520b3298fe56568da971d217c4a9324d977fe44d200c6703a09f0fecdd324d5

Observation a627d462-a014-450d-b561-91fdd4444969 · outbound

This paper cites Simplifying graph convolutional networks.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Simplifying graph convolutional networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.442976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:20.800139Z digest=sha256:607da26d9289bfb6d72f5f666e7155c12f857893777d5cb619f91417d8f43381

Observation a1596770-9302-496b-bc99-c03e615f4fe5 · outbound

This paper cites Nodeformer: A scalable graph structure learning transformer for node classification.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Nodeformer: A scalable graph structure learning transformer for node classification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.322701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.014482Z digest=sha256:3ed06f568fec1c44dcca00b9872cf2d7f21c5a293e2c92693d33dd8860b15102

Observation ac53cea1-6c58-4077-aa51-27a42ae18098 · outbound

This paper cites an unresolved cited work.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:59:28.139401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.220232Z digest=sha256:e22869b9cb6185ba6622a4b2f951920b37298b51d656dac79503ad2268317630

Observation e6223035-d2f5-4849-ae72-48c4ce41510f · outbound

This paper cites Deep incomplete multi-view clustering via mining cluster complementarity.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Deep incomplete multi-view clustering via mining cluster complementarity

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:28.008797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.421317Z digest=sha256:57d441d157db18146c66729b186123e84f3eaa6877b5b1d86221acce00fe19bb

Observation cd19ff76-3308-4520-a6aa-3e3f2fd878a0 · outbound

This paper cites Y., and He, L.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Y., and He, L

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:27.850858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.584596Z digest=sha256:f7901e234720cae5f8b6942d8fc9ed43c5f2fee60b913bc86a02d175598d5330

Observation c0293935-4983-42ee-b7c6-f82fdda19fd5 · outbound

This paper cites Multi-level feature learning for contrastive multi-view clustering.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Multi-level feature learning for contrastive multi-view clustering

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:27.672675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.730560Z digest=sha256:1f6c420593aefe343130ecabdf6ad2e2c6e9e6b014988754c228f06951b9d8d0

Observation 709052a0-9df0-46d4-8cb8-83a2cc29e613 · outbound

This paper cites Repbin: constraint-based graph representation learning for metagenomic binning.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Repbin: constraint-based graph representation learning for metagenomic binning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:27.535124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:21.885712Z digest=sha256:6501ae97ae38ca1e67a52f5a2c2e416e32d2a9cd6a8cbb2d93188cc510cae23f

Observation 01bb6a36-cfc6-48af-9dc5-4e2bf0398f74 · outbound

This paper cites Cluster-guided contrastive graph clustering network.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Cluster-guided contrastive graph clustering network

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:27.283053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:22.004606Z digest=sha256:24ef752cec8ce8b75cead3d7cbc0ea35eed7a7d89c40a7655bb743caec135a31

Observation 2437a9dc-2acb-43a3-92d4-2ca574852f8c · outbound

This paper cites Z., Liu, X., and Zhu, E.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Z., Liu, X., and Zhu, E

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:26.850117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:22.161075Z digest=sha256:3b9feaeb7aad37a61bf935f1c4b4a681ed7380519d3eb931405b6c618abe1cd5

Observation b07531ce-ddcf-490d-aac5-5d0b78be71b6 · outbound

This paper cites Mixed graph contrastive network for semi-supervised node classification.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Mixed graph contrastive network for semi-supervised node classification

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:26.497789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:22.366167Z digest=sha256:56fd864f1cfa2c0fb2b63ef4ad8479cdce1bca45e833b950ea582d5b98fe1edb

Observation c7d06746-5dab-4d11-8e14-d765f34d4c57 · outbound

This paper cites Dynamic spiking graph neural networks.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Dynamic spiking graph neural networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:26.119689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:22.538488Z digest=sha256:1a0a87156001cdebc9f1f66f743226ea4ee920ea25e6155449500181f59f866d

Observation d2f3ad5d-09f0-44d6-a1a7-ecb48d8ef2a0 · outbound

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

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Accurate node feature estimation with structured variational graph autoencoder

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:25.678842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:22.804577Z digest=sha256:f0809fecb72e07aa22fb38a408eb81f989bc8bb15d909bc7e23a6a9feca075cd

Observation e9bb0587-caea-4776-8538-4a0819f183bd · outbound

This paper cites Sparse low-rank multi-view subspace clustering with consensus anchors and unified bipartite graph.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Sparse low-rank multi-view subspace clustering with consensus anchors and unified bipartite graph

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:25.235039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:23.050560Z digest=sha256:8f42dd07275de1d33db10003be95420ecc397ea49657c78419b8a846c9e216a7

Observation 1d125b78-a248-4f0a-91c6-fcf45be43723 · outbound

This paper cites Towards resource-friendly, extensible and stable incomplete multi-view clustering.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Towards resource-friendly, extensible and stable incomplete multi-view clustering

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:24.800744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:23.204883Z digest=sha256:efdf1ac83107bbf113717687da79b5065d4e885f5e21f20e90b73e85bda13e2b

Observation baf69ecb-a160-4e1b-9cc5-2f345dcd6dea · outbound

This paper cites A non-parametric graph clustering framework for multi-view data.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation A non-parametric graph clustering framework for multi-view data

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:59:24.406989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:59:23.456665Z digest=sha256:6e5e2dce813165e466ce782bbf179dc685253c5e1ef40d85432309b1e227f5bd

Observation bc23273a-296e-496f-9c60-4ae78a3547cb · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:23.667922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:23.667922Z digest=sha256:e115002ee09f75c6f892e5189bc5dfc617ced9ce7631b8ad6a30c004c555bd63

Observation 6ca626d8-8d4a-46d8-9cff-222dc2674d60 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Deep Graph Contrastive Representation Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:23.894061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:23.894061Z digest=sha256:b12c6fb849af88533f879704fd04a21c2d911f331277eb0b0fa46db5379a4296

Pith citing papers

No inbound Pith citation observations are available.