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Models/GatedGCN

GatedGCN

Reported on 8 benchmarks across 4 tasks · 2 papers · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs7 results

Graph ClassificationonMNIST
Accuracy· 2020-03-02
97.34
best: 98.423 (CKGCN)
SOTA
Benchmarking Graph Neural Networks arXiv:2003.00982
Node ClassificationonPATTERN
Accuracy· 2020-03-02
86.508
best: 88.661 (CKGCN)
SOTA
Benchmarking Graph Neural Networks arXiv:2003.00982
Graph ClassificationonCIFAR10 100k
Accuracy (%)· 2017-11-20
69.37
best: 76.468 (GRIT)
SOTA
Residual Gated Graph ConvNets arXiv:1711.07553
Graph RegressiononZINC 100k
MAE· 2020-03-02
0.363
best: 0.094 (CIN-small)
Benchmarking Graph Neural Networks arXiv:2003.00982
Graph ClassificationonCIFAR10 100k
Accuracy (%)· 2020-03-02
67.312
best: 76.468 (GRIT)
Benchmarking Graph Neural Networks arXiv:2003.00982
Graph RegressiononZINC-500k
MAE· 2017-11-20
0.282
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
Residual Gated Graph ConvNets arXiv:1711.07553
Node ClassificationonPATTERN 100k
Accuracy (%)· 2017-11-20
84.48
best: 86.816 (EGT)
Residual Gated Graph ConvNets arXiv:1711.07553

Methodology3 results

ClassificationonMNIST
Accuracy· 2020-03-02
97.34
best: 98.423 (CKGCN)
SOTA
Benchmarking Graph Neural Networks arXiv:2003.00982
ClassificationonCIFAR10 100k
Accuracy (%)· 2017-11-20
69.37
best: 76.468 (GRIT)
SOTA
Residual Gated Graph ConvNets arXiv:1711.07553
ClassificationonCIFAR10 100k
Accuracy (%)· 2020-03-02
67.312
best: 76.468 (GRIT)
Benchmarking Graph Neural Networks arXiv:2003.00982