Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation | Paper Citation Record

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Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation write newline

Reference 1

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

Reference 3

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

Reference 5

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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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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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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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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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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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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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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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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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This paper cites and Khasahmadi, A.

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

Reference 14

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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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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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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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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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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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This paper cites Federated graph-level clustering network.

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

Reference 20

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This paper cites Deep graph clustering via dual correlation reduction.

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

Reference 21

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

Reference 24

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

Reference 25

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This paper cites Simple contrastive graph clustering.

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

Reference 26

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This paper cites Hard sample aware network for contrastive deep graph clustering.

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

Reference 27

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This paper cites Improved dual correlation reduction network.

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

Reference 28

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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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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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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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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

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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

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

Reference 35

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

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

Reference 37

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This paper cites Deep fusion clustering network.

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

Reference 38

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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

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This paper cites Attribute-missing graph clustering network.

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

Reference 40

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This paper cites Rare: Robust masked graph autoencoder.

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

Reference 41

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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

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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

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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

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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

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This paper cites and Hinton, G.

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

Reference 46

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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

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This paper cites Continual multi-view clustering.

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

Reference 48

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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

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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

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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

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This paper cites Simplifying graph convolutional networks.

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

Reference 52

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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

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

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

Reference 54

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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

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This paper cites Y., and He, L.

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

Reference 56

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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

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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

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

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

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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

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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

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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

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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

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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

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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

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

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 2026-08-19T06:32:44.657259+00:00.

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

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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

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