OpenCodePapers

node-classification-on-amazon-computers-1

Node Classification
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PaperCodeAccuracyModelNameReleaseDate
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification✓ Link94.09±0.37GAT2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification✓ Link93.99±0.12GCN2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification✓ Link93.25±0.14GraphSAGE2024-06-13
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link92.17±0.50GNNMoE(GCN-like P)2024-12-11
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link91.98±0.46GNNMoE(GAT-like P)2024-12-11
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification✓ Link91.85±0.39GNNMoE(SAGE-like P)2024-12-11
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures✓ Link91.45±0.58CGT2023-12-28
Inferring from References with Differences for Semi-Supervised Node Classification on Graphs✓ Link90.74%3ference2022-04-11
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link89.49%LinkDist2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link89.44%LinkDistMLP2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link89.42%CoLinkDist2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages✓ Link88.85%CoLinkDistMLP2021-06-16
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