Transductive Node Classification on Citeseer (transductive)
77.99AccuracySOTA
Evaluation Results
| Method | Links | |
|---|---|---|
| SOTA2020.10 | 77.99 | |
| OGCLearning Paradigm=supervised, #Layer=> 22023.09 | 77.5 | |
| FDiff-scaleBase Model=Linear2020.10 | 77.29 | |
| AutoscaleBase Model=Linear2020.10 | 77.11 | |
| FDiff-scaleBase Model=Plain Linear2020.10 | 77.08 | |
| AutoscaleBase Model=Plain Linear2020.10 | 76.83 | |
| FDiff-scaleBase Model=MLP2020.10 | 76.41 | |
| AutoscaleBase Model=MLP2020.10 | 76.36 | |
| ACMPLearning Paradigm=supervised, #Layer={8, 4, 32}2023.09 | 75.5 | |
| GRANDLearning Paradigm=supervised, #Layer={8, 2, 5}2023.09 | 75.4 | |
| C&SLearning Paradigm=supervised, #Layer=32023.09 | 75 | |
| GGCMLearning Paradigm=unsupervised, #Layer=> 22023.09 | 74.2 | |
| G2CNLearning Paradigm=unsupervised, #Layer=102023.09 | 73.8 | |
| GGCLearning Paradigm=unsupervised, #Layer=> 22023.09 | 73.8 | |
| NDLSLearning Paradigm=supervised, #Layer=22023.09 | 73.7 | |
| OAGSLearning Paradigm=supervised, #Layer=22023.09 | 73.7 | |
| S2GCLearning Paradigm=unsupervised, #Layer=162023.09 | 73.6 | |
| AIR-GAT2019.11 | 73.5 | |
| GCNIILearning Paradigm=supervised, #Layer={64, 32, 16}2023.09 | 73.4 | |
| DAGNN2019.11 | 73.3 | |
| N2NLearning Paradigm=unsupervised, #Layer=22023.09 | 73.1 | |
| JKNetLearning Paradigm=supervised, #Layer={4, 16, 32}2023.09 | 73 | |
| GMNN2019.11 | 72.9 | |
| AIR-GCN2019.11 | 72.9 | |
| ChebNetIILearning Paradigm=supervised, #Layer=22023.09 | 72.8 | |
| GAT2019.11 | 72.5 | |
| GNN-LF/HFLearning Paradigm=supervised, #Layer=22023.09 | 72.3 | |
| IncepLearning Paradigm=supervised, #Layer={64, 4, 4}2023.09 | 72.3 | |
| GRACETraining Data=X, A2020.06 | 72.1 | |
| GCNTraining Data=X, A, Y2020.06 | 72 | |
| SGCLearning Paradigm=unsupervised, #Layer=22023.09 | 71.9 | |
| SGC2019.11 | 71.9 | |
| APPNPLearning Paradigm=supervised, #Layer=22023.09 | 71.8 | |
| DGILearning Paradigm=unsupervised, #Layer=22023.09 | 71.8 | |
| BGRLLearning Paradigm=unsupervised, #Layer=22023.09 | 71.6 | |
| GCNLearning Paradigm=supervised, #Layer=22023.09 | 70.3 | |
| GCNAvailable data=X, A, Y2018.09 | 70.3 | |
| GCN2019.11 | 70.3 | |
| SGCTraining Data=X, A, Y2020.06 | 69.1 | |
| DGITraining Data=X, A2020.06 | 68.8 | |
| Eigen-GCNLearning Paradigm=supervised, #Layer=22023.09 | 66.5 | |
| GAELearning Paradigm=unsupervised, #Layer=42023.09 | 65.8 | |
| PlanetoidAvailable data=X, A, Y2018.09 | 64.7 | |
| Planetoid2019.11 | 64.7 | |
| Raw featuresTraining Data=X2020.06 | 64.6 | |
| GIN+εepsilon=learnable2019.11 | 63.8 | |
| GIN-0epsilon=02019.11 | 62.9 | |
| DGI Random-InitLearning Paradigm=unsupervised, #Layer=22023.09 | 61.9 | |
| VGAETraining Data=X, A2020.06 | 61.2 | |
| GAETraining Data=X, A2020.06 | 60.6 | |
| ManiRegLearning Paradigm=supervised2023.09 | 60.1 | |
| VERSELearning Paradigm=unsupervised2023.09 | 55.5 | |
| node2vecTraining Data=A2020.06 | 52.3 | |
| DeepWalkTraining Data=A2020.06 | 50.5 | |
| LPLearning Paradigm=supervised2023.09 | 48.9 | |
| DeepWalk + featuresTraining Data=X, A2020.06 | 47.6 | |
| node2vecLearning Paradigm=unsupervised2023.09 | 45.8 | |
| LPAvailable data=A, Y2018.09 | 45.3 | |
| DeepWalkLearning Paradigm=unsupervised2023.09 | 43.2 | |
| DeepWalkAvailable data=A2018.09 | 43.2 | |
| DeepWalk2019.11 | 43.2 |