OpenCodePapers

node-classification-on-genius

Node Classification
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PaperCodeAccuracy1:1 AccuracyModelNameReleaseDate
Feature Selection: Key to Enhance Node Classification with Graph Neural Networks✓ Link91.45±0.11Dual-Net GNN2023-01-25
Revisiting Heterophily For Graph Neural Networks✓ Link91.37 ± 0.07ACM-GCN++2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link91.22 ± 0.13ACM-GCN+2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link91.13 ± 0.09ACMII-GCN+2022-10-14
Revisiting Heterophily For Graph Neural Networks✓ Link91.01 ± 0.18ACMII-GCN++2022-10-14
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link90.91 ± 0.13GloGNN++2022-05-15
Gradient Gating for Deep Multi-Rate Learning on Graphs✓ Link90.85±0.64G^2-GraphSAGE2022-10-02
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods✓ Link90.77 ± 0.27LINKX2021-10-27
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link90.66 ± 0.11GloGNN2022-05-15
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing✓ Link90.58 ± 0.16MixHop2019-04-30
Simple and Deep Graph Convolutional Networks✓ Link90.24 ± 0.09GCNII2020-07-04
Adaptive Universal Generalized PageRank Graph Neural Network✓ Link90.05 ± 0.31GPRGCN2020-06-14
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link89.30 ± 0.19GCNJK2022-05-15
Semi-Supervised Classification with Graph Convolutional Networks✓ Link87.42 ± 0.37GCN2016-09-09
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily✓ Link86.68 ± 0.09MLP2022-05-15
Predict then Propagate: Graph Neural Networks meet Personalized PageRank✓ Link85.36 ± 0.62APPNP2018-10-14
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks✓ Link84.94 ± 0.49C&S 2-hop2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks✓ Link82.93 ± 0.15C&S 1-hop 2020-10-27
Simplifying Graph Convolutional Networks✓ Link82.36 ± 0.37SGC 1-hop2019-02-19
Simplifying Graph Convolutional Networks✓ Link82.10 ± 0.14SGC 2-hop2019-02-19
New Benchmarks for Learning on Non-Homophilous Graphs✓ Link73.56 ± 0.14LINK 2021-04-03
New Benchmarks for Learning on Non-Homophilous Graphs✓ Link67.04 ± 0.20L Prop 2-hop2021-04-03
New Benchmarks for Learning on Non-Homophilous Graphs✓ Link66.02 ± 0.16L Prop 1-hop2021-04-03
New Benchmarks for Learning on Non-Homophilous Graphs✓ Link56.70 ± 2.07GATJK2021-04-03
Graph Attention Networks✓ Link55.80 ± 0.87GAT2017-10-30
Addressing Heterophily in Node Classification with Graph Echo State Networks✓ Link91.72 ± 0.08GESN2023-05-14
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