Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective | Paper Citation Record

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This paper cites Sparse subspace clustering with entropy-norm.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Sparse subspace clustering with entropy-norm

Reference 1

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Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

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Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Convex optimization

Reference 3

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This paper cites Chawla, and Ananthram Swami.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Chawla, and Ananthram Swami

Reference 4

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This paper cites On a theorem of weyl concerning eigenvalues of linear transformations i.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective On a theorem of weyl concerning eigenvalues of linear transformations i

Reference 5

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This paper cites Algorithms for the qr decomposition.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Algorithms for the qr decomposition

Reference 6

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This paper cites Provable guarantees for self- supervised deep learning with spectral contrastive loss.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Provable guarantees for self- supervised deep learning with spectral contrastive loss

Reference 7

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This paper cites Contrastive multi-view representation learning on graphs.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Contrastive multi-view representation learning on graphs

Reference 8

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This paper cites Analyzing heterogeneous networks with missing attributes by unsupervised contrastive learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Analyzing heterogeneous networks with missing attributes by unsupervised contrastive learning

Reference 9

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This paper cites Contrastive learning meets homophily: two birds with one stone.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Contrastive learning meets homophily: two birds with one stone

Reference 10

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This paper cites Adversarial learning on heterogeneous information networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Adversarial learning on heterogeneous information networks

Reference 11

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This paper cites Leveraging meta-path based context for top-n recommendation with a neural co-attention model.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Leveraging meta-path based context for top-n recommendation with a neural co-attention model

Reference 12

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This paper cites Heterogeneous graph transformer.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Heterogeneous graph transformer

Reference 13

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This paper cites Deep semantic clustering by partition confi- dence maximisation.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deep semantic clustering by partition confi- dence maximisation

Reference 14

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This paper cites Multiplex graph representation learning via bi-level optimization.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Multiplex graph representation learning via bi-level optimization

Reference 15

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This paper cites Methods and analysis of the first competition in predicting generalization of deep learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Methods and analysis of the first competition in predicting generalization of deep learning

Reference 16

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This paper cites Dual intent enhanced graph neural network for session-based new item recommendation.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Dual intent enhanced graph neural network for session-based new item recommendation

Reference 17

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This paper cites Hdmi: High-order deep multiplex infomax.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Hdmi: High-order deep multiplex infomax

Reference 18

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This paper cites Diederik Kingma and Lei Jimmy Ba.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Diederik Kingma and Lei Jimmy Ba

Reference 19

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This paper cites Thomas Kipf and Max Welling.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Thomas Kipf and Max Welling

Reference 20

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This paper cites Deep spectral clustering learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deep spectral clustering learning

Reference 21

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This paper cites A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

Reference 22

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This paper cites Self-supervised temporal graph learning with temporal and structural intensity alignment.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised temporal graph learning with temporal and structural intensity alignment

Reference 23

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This paper cites Deep temporal graph clustering.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deep temporal graph clustering

Reference 24

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This paper cites Revisiting graph contrastive learning from the perspective of graph spectrum.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Revisiting graph contrastive learning from the perspective of graph spectrum

Reference 25

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This paper cites Dink-net: Neural clustering on large graphs.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Dink-net: Neural clustering on large graphs

Reference 26

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This paper cites Relation structure-aware heterogeneous information network embedding.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Relation structure-aware heterogeneous information network embedding

Reference 27

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This paper cites Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks

Reference 28

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This paper cites Disentan- gled multiplex graph representation learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Disentan- gled multiplex graph representation learning

Reference 29

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This paper cites Self-supervised heterogeneous graph learning: a homophily and heterogeneity view.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised heterogeneous graph learning: a homophily and heterogeneity view

Reference 30

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This paper cites Multiplex graph representation learning via common and private information mining.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Multiplex graph representation learning via common and private information mining

Reference 31

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This paper cites The laplacian spectrum of graphs.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective The laplacian spectrum of graphs

Reference 32

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This paper cites Representation Based Complexity Measures for Predicting Generalization in Deep Learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Representation Based Complexity Measures for Predicting Generalization in Deep Learning

Reference 33

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This paper cites Clustering and projected clustering with adaptive neighbors.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Clustering and projected clustering with adaptive neighbors

Reference 34

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This paper cites Self-weighted clustering with adaptive neighbors.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-weighted clustering with adaptive neighbors

Reference 35

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This paper cites Representation Learning with Contrastive Predictive Coding.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Representation Learning with Contrastive Predictive Coding

Reference 36

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This paper cites Multi-view contrastive graph clustering.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Multi-view contrastive graph clustering

Reference 37

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This paper cites Unsupervised attributed multiplex network embedding.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unsupervised attributed multiplex network embedding

Reference 38

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This paper cites Grlc: Graph representation learning with constraints.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Grlc: Graph representation learning with constraints

Reference 39

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This paper cites Graph representation learning via graphical mutual information maximization.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Graph representation learning via graphical mutual information maximization

Reference 40

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This paper cites Deepwalk: Online learning of social representations.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deepwalk: Online learning of social representations

Reference 41

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This paper cites Spectralnet: Spectral clustering using deep neural networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Spectralnet: Spectral clustering using deep neural networks

Reference 42

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This paper cites Pitfalls of Graph Neural Network Evaluation.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Pitfalls of Graph Neural Network Evaluation

Reference 43

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This paper cites Heterogeneous information network embedding for recommendation.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Heterogeneous information network embedding for recommendation

Reference 44

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This paper cites A survey of heterogeneous information network analysis.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective A survey of heterogeneous information network analysis

Reference 45

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Observation c00732b5-112b-4e72-a4c5-d268628bf077 · outbound

This paper cites Contrastive learning is spectral clustering on similarity graph.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Contrastive learning is spectral clustering on similarity graph

Reference 46

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This paper cites Unified one- step multi-view spectral clustering.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unified one- step multi-view spectral clustering

Reference 47

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Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 48

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This paper cites Visualizing data using t-sne.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Visualizing data using t-sne

Reference 49

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This paper cites Graph attention networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Graph attention networks

Reference 50

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This paper cites Hamilton, Pietro Liò, Yoshua Bengio, and R.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Hamilton, Pietro Liò, Yoshua Bengio, and R

Reference 51

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This paper cites A tutorial on spectral clustering.Statistics and computing, 17:395–416, 2007.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective A tutorial on spectral clustering.Statistics and computing, 17:395–416, 2007

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This paper cites Spectral embedded adaptive neighbors clustering.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Spectral embedded adaptive neighbors clustering

Reference 53

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This paper cites Image segmentation with ratio cut.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Image segmentation with ratio cut

Reference 54

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This paper cites A survey on heterogeneous graph embedding: methods, techniques, applications and sources.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective A survey on heterogeneous graph embedding: methods, techniques, applications and sources

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.416357Z

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Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 56

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Observation 15aad594-9a94-4fce-83a8-859bd36d4ecf · outbound

This paper cites Self-supervised heterogeneous graph neural network with co-contrastive learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised heterogeneous graph neural network with co-contrastive learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.395349Z

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 bda45c10-91c4-418c-957f-c28f7f7f36d9 · outbound

This paper cites Heteroge- neous graph contrastive multi-view learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Heteroge- neous graph contrastive multi-view learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.384196Z

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 9e7451cc-ad7d-4ae6-8743-3289d557d5cc · outbound

This paper cites Molformer: Motif-based transformer on 3d heterogeneous molecular graphs.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Molformer: Motif-based transformer on 3d heterogeneous molecular graphs

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.373873Z

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 ff6a80ae-ed06-4b0e-a2f5-ff7c9f9e2231 · outbound

This paper cites Self-supervised learning on graphs: Contrastive, generative, or predictive.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised learning on graphs: Contrastive, generative, or predictive

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.362876Z

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

Observation 38bc7847-f0ab-451a-b5c2-c5877edcd5a4 · outbound

This paper cites Decoupled self-supervised learning for graphs.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Decoupled self-supervised learning for graphs

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.352371Z

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 3055e3ce-4609-43f9-944d-4217e1c4528d · outbound

This paper cites Self-supervised graph neural networks via diverse and interactive message passing.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised graph neural networks via diverse and interactive message passing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.341287Z

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

Observation 7e1b302e-df85-4dae-923a-2b82535d665e · outbound

This paper cites Self-supervised graph neural networks via low-rank decomposition.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Self-supervised graph neural networks via low-rank decomposition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.329617Z

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

Observation 2ac3e35f-b0db-462a-958c-949ee22f7d94 · outbound

This paper cites Dealmvc: Dual contrastive calibration for multi-view clustering.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Dealmvc: Dual contrastive calibration for multi-view clustering

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.318799Z

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

Observation acbf1d3a-d8f1-433c-b7c0-d0b08c3a962d · outbound

This paper cites Cluster-guided contrastive graph clustering network.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Cluster-guided contrastive graph clustering network

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.307018Z

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 e00f70b6-67cd-40d7-ae70-96ee07a202aa · outbound

This paper cites Deep spectral clustering using dual autoencoder network.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deep spectral clustering using dual autoencoder network

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.296226Z

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 30e07446-1651-4802-9b49-747917f2f5cd · outbound

This paper cites Hgprompt: Bridging homogeneous and heterogeneous graphs for few-shot prompt learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Hgprompt: Bridging homogeneous and heterogeneous graphs for few-shot prompt learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.285198Z

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 dde18ef1-52f5-4fae-b9c0-0bd64f5910e2 · outbound

This paper cites Molecular representation learning via heterogeneous motif graph neural networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Molecular representation learning via heterogeneous motif graph neural networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.274294Z

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 1e7311cf-afb3-4e58-b8d8-e9c105d69ee2 · outbound

This paper cites A simple meta-path-free framework for heterogeneous network embedding.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective A simple meta-path-free framework for heterogeneous network embedding

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.262047Z

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 aa22118d-8ad9-42e2-a862-a6d67d89902e · outbound

This paper cites Costa: Covariance- preserving feature augmentation for graph contrastive learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Costa: Covariance- preserving feature augmentation for graph contrastive learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.251447Z

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 93657ea3-ec3d-4f09-b208-9e8fecd78420 · outbound

This paper cites Heterogeneous graph structure learning for graph neural networks.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Heterogeneous graph structure learning for graph neural networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.240066Z

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 3d0098d6-7151-49f7-9a82-92c717631bef · outbound

This paper cites Collaborative knowledge distillation for heterogeneous information network embedding.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Collaborative knowledge distillation for heterogeneous information network embedding

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.228394Z

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 b1404a6a-34b3-4bba-816b-3c2c1996d162 · outbound

This paper cites Multi-view spectral clustering with optimal neighborhood laplacian matrix.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Multi-view spectral clustering with optimal neighborhood laplacian matrix

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.216137Z

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 296c8da7-92c8-4dfb-bb93-49df423ea470 · outbound

This paper cites Structure-enhanced heterogeneous graph contrastive learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Structure-enhanced heterogeneous graph contrastive learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.203961Z

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 f99e9d0e-34f6-4476-9c76-dce43a654589 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Deep Graph Contrastive Representation Learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:45.808019Z

Source-reported events for the cited work

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Observation b12b2eaa-cae6-4ffe-b990-cf08a8dc9193 · outbound

This paper cites Graph contrastive learning with adaptive augmentation.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Graph contrastive learning with adaptive augmentation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.191885Z

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 c61c805f-6434-48d0-9286-c35ebd03c255 · outbound

This paper cites [ 46] demonstrates that contrastive learning with the standard InfoNCE loss is equivalent to spectral clustering on the similarity graph.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective [ 46] demonstrates that contrastive learning with the standard InfoNCE loss is equivalent to spectral clustering on the similarity graph

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.181078Z

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 0f247a74-094a-4a8c-9325-a1516323aff5 · outbound

This paper cites (23), we can rewrite Eq.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective (23), we can rewrite Eq

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.168394Z

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 bb555771-b00a-498b-acdc-f7c453634690 · outbound

This paper cites Therefore, based on Eq.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Therefore, based on Eq

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.158456Z

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 1434b3c8-e160-4805-b63a-9d19c43fdbb0 · outbound

This paper cites Hetero” and “Homo.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Hetero” and “Homo

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:08:46.147381Z

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 35e6e27d-0e72-4dff-a16a-aa27f79c872b · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T05:08:45.833266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1433656c-6e13-470c-81a7-f331dbbba5b5 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.129128Z

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 433a6c15-1ad1-4782-aa33-f5a19c3633a3 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.117931Z

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 579b6e84-dba1-4f82-a526-68198253db83 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.107455Z

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

Observation 9ab7b6cd-6c56-4166-9d93-7f1e6659e98f · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.096205Z

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

Observation 1555c095-322d-4bad-ae96-6aedda663ee9 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.084334Z

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 0d3361d1-e085-4ffa-b579-9a68724130b7 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.071473Z

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 8a11fe18-81e5-4d40-a2f7-8a438c7afa5a · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.059569Z

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 8ff0b723-e349-4e23-b218-3f14221d3f0a · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.047628Z

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 ee28412f-f656-4130-a4aa-ccf9c31d2989 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.036160Z

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 190588c9-67a1-42ce-84b0-0075a93d4fa3 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.023052Z

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 2a20bab1-f1d6-4a6d-b3aa-9733f33609e1 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 92

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c022fd71-9c68-4704-999d-e00fdf64d14f · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:46.003733Z

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 3bc52a50-3a3d-49ba-8cb4-b118fbd08726 · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:45.991579Z

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 109492ba-546d-4163-83fb-2d591488002b · outbound

This paper cites an unresolved cited work.

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:08:45.979382Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers