OpenCodePapers

node-classification-on-amz-photo

Node Classification
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Click a sortable column header to sort.
PaperCodeAccuracyModelNameReleaseDate
Clarify Confused Nodes via Separated Learning✓ Link95.93 ± 0.36NCSAGE2023-06-04
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures✓ Link95.73±0.84CGT2023-12-28
Clarify Confused Nodes via Separated Learning✓ Link95.45 ± 0.45NCGCN2023-06-04
Exphormer: Sparse Transformers for Graphs✓ Link95.35±0.22%Exphormer2023-03-10
Half-Hop: A graph upsampling approach for slowing down message passing✓ Link95.03%GraphSAGE2023-08-17
Half-Hop: A graph upsampling approach for slowing down message passing✓ Link94.55%HH-GraphSAGE2023-08-17
Half-Hop: A graph upsampling approach for slowing down message passing✓ Link94.52%HH-GCN2023-08-17
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework✓ Link94.10%CPF-ind-GAT2021-03-04
Half-Hop: A graph upsampling approach for slowing down message passing✓ Link93.59%GCN2023-08-17
Diffusion Improves Graph Learning✓ Link92.93%JK (Heat Diffusion)2019-10-28
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation✓ Link92.11± 1.08%GLNN2021-10-17
Towards Deeper Graph Neural Networks✓ Link92%DAGNN (Ours)2020-07-18
SIGN: Scalable Inception Graph Neural Networks✓ Link91.72 ± 1.20SIGN2020-04-23
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning✓ Link90.4 ± 1.0Graph InfoClust (GIC)2020-09-15
Check out how to contribute new results.