Transductive Node Classification on Pubmed (transductive)
91AccuracyHDGCN
Evaluation Results
| Method | Links | |
|---|---|---|
| HDGCNEvaluation protocol=Transductive2021.06 | 91 | |
| SOTA2020.10 | 90.3 | |
| HDGCN-staticEvaluation protocol=Transductive2021.06 | 90.3 | |
| AutoscaleBase Model=Plain Linear2020.10 | 90.01 | |
| AutoscaleBase Model=Linear2020.10 | 89.98 | |
| FDiff-scaleBase Model=Plain Linear2020.10 | 89.74 | |
| CoLinkDisttraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=true2021.06 | 89.58 | |
| FDiff-scaleBase Model=Linear2020.10 | 89.57 | |
| CoLinkDistMLPtraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=false2021.06 | 89.53 | |
| AutoscaleBase Model=MLP2020.10 | 89.5 | |
| FDiff-scaleBase Model=MLP2020.10 | 89.38 | |
| LinkDisttraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=true2021.06 | 88.86 | |
| LinkDistMLPtraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=false2021.06 | 88.79 | |
| GCNEvaluation protocol=Transductive2021.06 | 88.1 | |
| MLPtraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=false2021.06 | 87.92 | |
| GATEvaluation protocol=Transductive2021.06 | 87.6 | |
| GRACETraining Data=X, A2020.06 | 86.7 | |
| GRACEEvaluation protocol=Transductive2021.06 | 86.7 | |
| GCN2MLPtraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=false2021.06 | 86.25 | |
| DGITraining Data=X, A2020.06 | 86 | |
| GCNIIEvaluation protocol=Transductive2021.06 | 85.6 | |
| GCNTraining Data=X, A, Y2020.06 | 84.9 | |
| Raw featuresTraining Data=X2020.06 | 84.8 | |
| SGCTraining Data=X, A, Y2020.06 | 84.8 | |
| GCNtraining_setting=full-supervised, evaluation_setting=transductive, message_aggregation_in_evaluation=true2021.06 | 84.79 | |
| DeepWalk + featuresTraining Data=X, A2020.06 | 83.7 | |
| OGCLearning Paradigm=supervised, #Layer=> 22023.09 | 83.4 | |
| VGAETraining Data=X, A2020.06 | 83 | |
| LoopyNetEvaluation protocol=Transductive2021.06 | 83 | |
| GAETraining Data=X, A2020.06 | 82.9 | |
| GRANDLearning Paradigm=supervised, #Layer={8, 2, 5}2023.09 | 82.7 | |
| OAGSLearning Paradigm=supervised, #Layer=22023.09 | 81.9 | |
| GMNN2019.11 | 81.8 | |
| NDLSLearning Paradigm=supervised, #Layer=22023.09 | 81.4 | |
| C&SLearning Paradigm=supervised, #Layer=32023.09 | 81.2 | |
| GGCMLearning Paradigm=unsupervised, #Layer=> 22023.09 | 80.8 | |
| GNN-LF/HFLearning Paradigm=supervised, #Layer=22023.09 | 80.5 | |
| ChebNetIILearning Paradigm=supervised, #Layer=22023.09 | 80.5 | |
| DeepWalkTraining Data=A2020.06 | 80.5 | |
| DAGNN2019.11 | 80.5 | |
| G2CNLearning Paradigm=unsupervised, #Layer=102023.09 | 80.4 | |
| node2vecTraining Data=A2020.06 | 80.3 | |
| HGCNEvaluation protocol=Transductive2021.06 | 80.3 | |
| GCNIILearning Paradigm=supervised, #Layer={64, 32, 16}2023.09 | 80.2 | |
| S2GCLearning Paradigm=unsupervised, #Layer=162023.09 | 80.2 | |
| APPNPLearning Paradigm=supervised, #Layer=22023.09 | 80.1 | |
| N2NLearning Paradigm=unsupervised, #Layer=22023.09 | 80.1 | |
| BGRLLearning Paradigm=unsupervised, #Layer=22023.09 | 80 | |
| AIR-GCN2019.11 | 80 | |
| AIR-GAT2019.11 | 80 | |
| GGCLearning Paradigm=unsupervised, #Layer=> 22023.09 | 79.6 | |
| GraphNASEvaluation protocol=Transductive2021.06 | 79.6 | |
| EP-BSupervision=Unsupervised2019.11 | 79.56 | |
| GATSupervision=Semi-supervised2019.11 | 79.56 | |
| IncepLearning Paradigm=supervised, #Layer={64, 4, 4}2023.09 | 79.5 | |
| ACMPLearning Paradigm=supervised, #Layer={8, 4, 32}2023.09 | 79.4 | |
| Graph-BertEvaluation protocol=Transductive2021.06 | 79.3 | |
| GCNLearning Paradigm=supervised, #Layer=22023.09 | 79 | |
| GCNAvailable data=X, A, Y2018.09 | 79 | |
| GCNSetting=Transductive2017.10 | 79 | |
| GCN2019.11 | 79 | |
| GAT2019.11 | 79 | |
| SGCLearning Paradigm=unsupervised, #Layer=22023.09 | 78.9 | |
| SGC2019.11 | 78.9 | |
| Eigen-GCNLearning Paradigm=supervised, #Layer=22023.09 | 78.6 | |
| Caps2NESupervision=Unsupervised2019.11 | 78.45 | |
| GIN-0epsilon=02019.11 | 78 | |
| JKNetLearning Paradigm=supervised, #Layer={4, 16, 32}2023.09 | 77.9 | |
| DeepWalk+BoWSupervision=Unsupervised2019.11 | 77.82 | |
| GCNSupervision=Semi-supervised2019.11 | 77.32 | |
| PlanetoidAvailable data=X, A, Y2018.09 | 77.2 | |
| PlanetoidSetting=Transductive2017.10 | 77.2 | |
| Planetoid2019.11 | 77.2 | |
| DGILearning Paradigm=unsupervised, #Layer=22023.09 | 76.8 | |
| GIN+εepsilon=learnable2019.11 | 75.5 | |
| PlanetoidSupervision=Semi-supervised2019.11 | 74.49 | |
| ChebyshevSetting=Transductive2017.10 | 74.4 | |
| Chebyshev#Layers=2, #Params=0.09M2019.09 | 74.4 | |
| ICASetting=Transductive2017.10 | 73.9 | |
| DeepWalkSupervision=Unsupervised2019.11 | 73.49 | |
| GAELearning Paradigm=unsupervised, #Layer=42023.09 | 72.1 | |
| SemiEmbSetting=Transductive2017.10 | 71.7 | |
| MLPSetting=Transductive2017.10 | 71.4 | |
| node2vecLearning Paradigm=unsupervised2023.09 | 71.3 | |
| ManiRegLearning Paradigm=supervised2023.09 | 70.7 | |
| ManiRegSetting=Transductive2017.10 | 70.7 | |
| BoWSupervision=Unsupervised2019.11 | 70.49 | |
| DGI Random-InitLearning Paradigm=unsupervised, #Layer=22023.09 | 69.6 | |
| LPLearning Paradigm=supervised2023.09 | 65.8 | |
| DeepWalkLearning Paradigm=unsupervised2023.09 | 65.3 | |
| DeepWalkAvailable data=A2018.09 | 65.3 | |
| DeepWalkSetting=Transductive2017.10 | 65.3 | |
| DeepWalk2019.11 | 65.3 | |
| LPAvailable data=A, Y2018.09 | 63 | |
| LPSetting=Transductive2017.10 | 63 |