Node Classification on CoraFull 5-way 3-shot (test)
80.23AccuracyVISION
Evaluation Results
| Method | Links | |
|---|---|---|
| VISION2026.05 | 80.23 | |
| SMILE2026.05 | 74.04 | |
| COSMIC2026.05 | 73.03 | |
| AMM-GNNModel Category=MAML models, Baseline Model=AMM-GNN, Optimizer=Adam2024.10 | 72.92 | |
| Meta-BP2026.05 | 72.9 | |
| GPNModel Category=non-MAML models, Baseline Model=GPN, Optimizer=FGSAM+2024.10 | 72.85 | |
| AMM-GNNModel Category=MAML models, Baseline Model=AMM-GNN, Optimizer=FGSAM+2024.10 | 72.79 | |
| TENTModel Category=non-MAML models, Baseline Model=TENT, Optimizer=FGSAM+2024.10 | 72.18 | |
| TEG2026.05 | 72.14 | |
| TENTModel Category=non-MAML models, Baseline Model=TENT, Optimizer=FGSAM2024.10 | 71.8 | |
| AMM-GNNModel Category=MAML models, Baseline Model=AMM-GNN, Optimizer=FGSAM2024.10 | 71.67 | |
| Meta-GCNModel Category=MAML models, Baseline Model=Meta-GCN, Optimizer=FGSAM+2024.10 | 71.54 | |
| GPNModel Category=non-MAML models, Baseline Model=GPN, Optimizer=SAM2024.10 | 71.38 | |
| GPNModel Category=non-MAML models, Baseline Model=GPN, Optimizer=Adam2024.10 | 71.24 | |
| TENTModel Category=non-MAML models, Baseline Model=TENT, Optimizer=SAM2024.10 | 71.22 | |
| GPNModel Category=non-MAML models, Baseline Model=GPN, Optimizer=FGSAM2024.10 | 71.1 | |
| Meta-GCNModel Category=MAML models, Baseline Model=Meta-GCN, Optimizer=FGSAM2024.10 | 70.97 | |
| TENTModel Category=non-MAML models, Baseline Model=TENT, Optimizer=Adam2024.10 | 70.85 | |
| Meta-GCNModel Category=MAML models, Baseline Model=Meta-GCN, Optimizer=Adam2024.10 | 70.25 | |
| Meta-GCNModel Category=MAML models, Baseline Model=Meta-GCN, Optimizer=SAM2024.10 | 70.23 | |
| X-FNC2026.05 | 69.32 | |
| AMM-GNNModel Category=MAML models, Baseline Model=AMM-GNN, Optimizer=SAM2024.10 | 68.47 | |
| TLP2026.05 | 66.32 | |
| Meta-GPS2026.05 | 65.19 | |
| GraphPrompt2026.05 | 65.12 | |
| TENT2026.05 | 64.8 | |
| G-Meta2026.05 | 57.52 | |
| VNT2026.05 | 55.19 | |
| GPN2026.05 | 53.24 | |
| Meta-GNN2026.05 | 52.23 | |
| SGC2026.05 | 39.56 | |
| MAML2026.05 | 37.12 | |
| GCN2026.05 | 34.65 | |
| ProtoNet2026.05 | 33.67 | |
| node2vec2026.05 | 23.75 | |
| DeepWalk2026.05 | 23.62 |