OpenCodePapers

node-classification-on-coauthor-physics

Node Classification
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PaperCodeAccuracyModelNameReleaseDate
Clarify Confused Nodes via Separated Learning✓ Link98.69 ± 0.26NCSAGE2023-06-04
Clarify Confused Nodes via Separated Learning✓ Link98.63 ± 0.24NCGCN2023-06-04
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification✓ Link97.46 ± 0.10GCN2024-06-13
Inferring from References with Differences for Semi-Supervised Node Classification on Graphs✓ Link97.22%3ference2022-04-11
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link97.05%CoLinkDist2021-06-16
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link97.05±0.19GNNMoE(GAT-like P)2024-12-11
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link97.03±0.13GNNMoE(GCN-like P)2024-12-11
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link96.91%LinkDistMLP2021-06-16
Exphormer: Sparse Transformers for Graphs✓ Link96.89±0.09%Exphormer2023-03-10
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link96.87%CoLinkDistMLP2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link96.87%LinkDist2021-06-16
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link96.81±0.22GNNMoE(SAGE-like P)2024-12-11
GraphMix: Improved Training of GNNs for Semi-Supervised Learning✓ Link94.49 ± 0.84GraphMix (GCN)2019-09-25
Towards Deeper Graph Neural Networks✓ Link94DAGNN (Ours)2020-07-18
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