Node Classification on Squirrel
83.49AccuracyGHM
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| GHMEvaluation Setting=transductive2024.07 | 83.49 | — | — | — | — | — | — | — | — | |
| CNAArchitecture=Dir-GNN2024.12 | 77.47 | — | — | — | — | — | — | — | — | |
| FaberNet2023.10 | 76.71 | — | — | — | — | — | — | — | — | |
| SOTA2024.10 | 76.71 | — | — | — | — | — | — | — | — | |
| ScaleNetType=Ours, loop_α, β, γ=0_1,1,12024.11 | 76 | — | — | — | — | — | — | — | — | |
| Dir-GNN2023.05 | 75.31 | — | — | — | — | — | — | — | — | |
| Dir-GNNArchitecture=Dir-GNN2024.12 | 75.31 | — | — | — | — | — | — | — | — | |
| Dir-GNNType=BiDirection2024.11 | 75.3 | — | — | — | — | — | — | — | — | |
| Dir-GNN2023.10 | 75.13 | — | — | — | — | — | — | — | — | |
| Sort-MPNN2024.10 | 74.69 | — | — | — | — | — | — | — | — | |
| HLP Concat2021.06 | 74.17 | — | — | — | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=82021.05 | 74.1 | — | — | — | — | — | — | — | — | |
| FSGNN2023.10 | 74.1 | — | — | — | — | — | — | — | — | |
| FSGNN2023.05 | 74.1 | — | — | — | — | — | — | — | — | |
| FC-GSSL2026.04 | 74.03 | — | — | — | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=32021.05 | 73.48 | — | — | — | — | — | — | — | — | |
| GraphPAE2026.04 | 72.05 | — | — | — | — | — | — | — | — | |
| GESN2022.10 | 71.2 | — | — | — | — | — | — | — | — | |
| GraphMAE22026.04 | 70.27 | — | — | — | — | — | — | — | — | |
| Best SpecializedEvaluation Setting=transductive, Reference=[35]2024.07 | 68.93 | — | — | — | — | — | — | — | — | |
| S2GAE2026.04 | 68.6 | — | — | — | — | — | — | — | — | |
| MaskGAE2026.04 | 68.53 | — | — | — | — | — | — | — | — | |
| SADE-GCN2023.05 | 68.2 | — | — | — | — | — | — | — | — | |
| ACM-GCN2023.10 | 67.4 | — | — | — | — | — | — | — | — | |
| ACM-GCN2023.05 | 67.4 | — | — | — | — | — | — | — | — | |
| ACMII-GCN++2024.06 | 67.4 | — | — | — | — | — | — | — | — | |
| RepNodesModel=GIN, Features=No2026.05 | 67.27 | — | — | — | — | — | — | — | — | |
| ACM-GCN+2023.05 | 66.98 | — | — | — | — | — | — | — | — | |
| UGTpre-training=true2023.08 | 66.96 | — | — | — | — | — | — | — | — | |
| RepNodesModel=GIN, Features=Yes2026.05 | 66.81 | — | — | — | — | — | — | — | — | |
| RDGNN-S2024.06 | 65.96 | — | — | — | — | — | — | — | — | |
| RepNodesModel=GCN, Features=Yes2026.05 | 65.77 | — | — | — | — | — | — | — | — | |
| MNModel=GIN, Features=Yes2026.05 | 65.65 | — | — | — | — | — | — | — | — | |
| RepEdgesModel=GIN, Features=Yes2026.05 | 65.65 | — | — | — | — | — | — | — | — | |
| RDGNN-I2024.06 | 65.62 | — | — | — | — | — | — | — | — | |
| RepNodesModel=GCN, Features=No2026.05 | 65.42 | — | — | — | — | — | — | — | — | |
| RepEdgesModel=GIN, Features=No2026.05 | 65.38 | — | — | — | — | — | — | — | — | |
| BaselineModel=GIN, Features=Yes2026.05 | 65.23 | — | — | — | — | — | — | — | — | |
| GAT2023.08 | 64.76 | — | — | — | — | — | — | — | — | |
| MNModel=GIN, Features=No2026.05 | 64.73 | — | — | — | — | — | — | — | — | |
| BaselineModel=GIN, Features=No2026.05 | 64.65 | — | — | — | — | — | — | — | — | |
| Gradient Gating2023.10 | 64.26 | — | — | — | — | — | — | — | — | |
| Gradient Gating2023.05 | 64.26 | — | — | — | — | — | — | — | — | |
| G2†2024.06 | 64.26 | — | — | — | — | — | — | — | — | |
| OptBasisGNNcross-validation splits=202023.02 | 63.62 | — | — | — | — | — | — | — | — | |
| RepEdgesModel=GCN, Features=No2026.05 | 63.5 | — | — | — | — | — | — | — | — | |
| FavardGNNcross-validation splits=202023.02 | 63.49 | — | — | — | — | — | — | — | — | |
| RepEdgesModel=GCN, Features=Yes2026.05 | 63.46 | — | — | — | — | — | — | — | — | |
| GHCEvaluation Setting=transductive2024.07 | 62.9 | — | — | — | — | — | — | — | — | |
| Sp2GCL2026.04 | 62.61 | — | — | — | — | — | — | — | — | |
| LW-GCNWeight for fc=0.9872021.10 | 62.6 | — | — | — | — | — | — | — | — | |
| AUG-MAE2026.04 | 62.57 | — | — | — | — | — | — | — | — | |
| Ordered GNN2023.02 | 62.44 | — | — | — | — | — | — | — | — | |
| HDP2024.05 | 62.07 | — | — | — | — | — | — | — | — | |
| SIGMA2023.05 | 62.04 | — | — | — | — | — | — | — | — | |
| SL-TranBackbone=Transformer2025.11 | 61.82 | — | — | — | — | — | — | — | — | |
| LINKXtrials=102022.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2022.11 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2023.10 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2023.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2024.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2024.06 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2023.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2023.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINX2026.05 | 61.81 | — | — | — | — | — | — | — | — | |
| LINKX2021.10 | 61.8 | — | — | — | — | — | — | — | — | |
| Sine-Poly(A)-plactivation=Sine, filter=per-layer2026.02 | 61.79 | — | — | — | — | — | — | — | — | |
| BaselineModel=GCN, Features=Yes2026.05 | 61.65 | — | — | — | — | — | — | — | — | |
| CCA-SSG2026.04 | 61.58 | — | — | — | — | — | — | — | — | |
| GATVariant=+Hi2024.03 | 61.37 | — | — | — | — | — | — | — | — | |
| MNModel=GCN, Features=Yes2026.05 | 61.17 | — | — | — | — | — | — | — | — | |
| GraphMAE2026.04 | 61.13 | — | — | — | — | — | — | — | — | |
| BaselineModel=GCN, Features=No2026.05 | 60.85 | — | — | — | — | — | — | — | — | |
| Sine-Poly(A)-shactivation=Sine, filter=shared2026.02 | 60.81 | — | — | — | — | — | — | — | — | |
| MNModel=GCN, Features=No2026.05 | 60.73 | — | — | — | — | — | — | — | — | |
| GATVariant=Standard2024.03 | 60.46 | — | — | — | — | — | — | — | — | |
| LHS2023.12 | 60.27 | — | — | — | — | — | — | — | — | |
| MVGRL2026.04 | 60.09 | — | — | — | — | — | — | — | — | |
| SG-GCN2025.12 | 60 | — | — | — | — | — | — | — | — | |
| Baseline-TranBackbone=Transformer2025.11 | 59.68 | — | — | — | — | — | — | — | — | |
| Graphcon-TranBackbone=Transformer2025.11 | 59.68 | — | — | — | — | — | — | — | — | |
| GCNEvaluation Setting=transductive2024.07 | 59.56 | — | — | — | — | — | — | — | — | |
| GNSN2026.05 | 59.54 | — | — | — | — | — | — | — | — | |
| GNFBC2026.03 | 59.31 | — | — | — | — | — | — | — | — | |
| CATv3-supBase Model=GATv32023.12 | 59.3 | — | — | — | — | — | — | — | — | |
| GREAD-BS2022.11 | 59.22 | — | — | — | — | — | — | — | — | |
| GREAD†2024.06 | 59.22 | — | — | — | — | — | — | — | — | |
| GREAD2026.05 | 59.22 | — | — | — | — | — | — | — | — | |
| LINKX2024.03 | 59.15 | — | — | — | — | — | — | — | — | |
| GPNN2023.12 | 59.11 | — | — | — | — | — | — | — | — | |
| GRAFF†2024.06 | 59.01 | — | — | — | — | — | — | — | — | |
| NLGCN2020.05 | 59 | — | — | — | — | — | — | — | — | |
| NLGNN2023.12 | 59 | — | — | — | — | — | — | — | — | |
| H2GCN2025.12 | 59 | — | — | — | — | — | — | — | — | |
| CD-GNN2026.04 | 58.98 | — | — | — | — | — | — | — | — | |
| Node2Seq2023.12 | 58.8 | — | — | — | — | — | — | — | — | |
| GREAD2026.02 | 58.62 | — | — | — | — | — | — | — | — | |
| HogGCN2023.05 | 58.26 | — | — | — | — | — | — | — | — | |
| FgGSL2025.12 | 58 | — | — | — | — | — | — | — | — | |
| GloGNN++2021.10 | 57.9 | — | — | — | — | — | — | — | — |