ML Research Wiki / Benchmarks / Node Classification / Amazon Photo

Amazon Photo

Node Classification Benchmark

Performance Over Time

📊 Showing 10 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 GraphSAGE Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification 0.00 2024-06-13 📦 LUOyk1999/tunedGNN
2 GAT Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification 0.00 2024-06-13 📦 LUOyk1999/tunedGNN
3 GCN Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification 0.00 2024-06-13 📦 LUOyk1999/tunedGNN
4 GNNMoE(GCN-like P) Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification 0.00 2024-12-11 📦 GISec-Team/GNNMoE
5 GNNMoE(GAT-like P) Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification 0.00 2024-12-11 📦 GISec-Team/GNNMoE
6 GNNMoE(SAGE-like P) Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification 0.00 2024-12-11 📦 GISec-Team/GNNMoE
7 CoLinkDist Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages 0.00 2021-06-16 📦 cf020031308/LinkDist 📦 cf020031308/LinkDist
8 CoLinkDistMLP Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages 0.00 2021-06-16 📦 cf020031308/LinkDist 📦 cf020031308/LinkDist
9 LinkDistMLP Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages 0.00 2021-06-16 📦 cf020031308/LinkDist 📦 cf020031308/LinkDist
10 LinkDist Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages 0.00 2021-06-16 📦 cf020031308/LinkDist 📦 cf020031308/LinkDist

All Papers (10)