Graph Classification on IMDB
77.7AccuracyHVG+-GIN
Evaluation Results
| Method | Links | |
|---|---|---|
| HVG+-GINbackbone=GIN2025.12 | 77.7 | |
| HVG-GINbackbone=GIN2025.12 | 77.3 | |
| Graclus2025.01 | 77 | |
| HVG-GATbackbone=GAT2025.12 | 76.2 | |
| HVG+-GATbackbone=GAT2025.12 | 76.2 | |
| BN-Pool2025.01 | 76 | |
| HVG-GCNbackbone=GCN2025.12 | 75.5 | |
| ECPool2025.01 | 75 | |
| JBGNN2025.01 | 75 | |
| HVG-SAGEbackbone=SAGE2025.12 | 74.9 | |
| HVG+-GCNbackbone=GCN2025.12 | 74.8 | |
| CONG+backbone=GIN2025.12 | 74.8 | |
| CONG+backbone=GAT2025.12 | 74.6 | |
| HVG+-SAGEbackbone=SAGE2025.12 | 74.4 | |
| k-MIS2025.01 | 74 | |
| Top-k2025.01 | 74 | |
| HOSC2025.01 | 74 | |
| CONGbackbone=GIN2025.12 | 73.2 | |
| CONGbackbone=GAT2025.12 | 73.2 | |
| MinCut2025.01 | 73 | |
| DMoN2025.01 | 73 | |
| CONG†backbone=GAT2025.12 | 72.9 | |
| CONG†backbone=GraphSage2025.12 | 72.8 | |
| BASE-GINbackbone=GIN2025.12 | 72.6 | |
| BASE-GATbackbone=GAT2025.12 | 72.6 | |
| GIN2025.12 | 72.6 | |
| GAT2025.12 | 72.6 | |
| GIBbackbone=GCN2025.12 | 72.6 | |
| CONGbackbone=GCN2025.12 | 72.4 | |
| CONGbackbone=GraphSage2025.12 | 72.4 | |
| CONG†backbone=GIN2025.12 | 72.4 | |
| CONG+backbone=GraphSage2025.12 | 72.1 | |
| GIBbackbone=GraphSage2025.12 | 72 | |
| SEP2025.01 | 72 | |
| DiffPool2025.01 | 72 | |
| GIBbackbone=GAT2025.12 | 71.7 | |
| BASE-SAGEbackbone=SAGE2025.12 | 71.5 | |
| GraphSage2025.12 | 71.5 | |
| CONG+backbone=GCN2025.12 | 71.3 | |
| BASE-GCNbackbone=GCN2025.12 | 71 | |
| GCN2025.12 | 71 | |
| Eigen2025.01 | 71 | |
| GIBbackbone=GIN2025.12 | 70.2 | |
| CONG†backbone=GCN2025.12 | 70.2 | |
| GLIP-MistralCategory=Ours, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 63.72 | |
| GLIP-QwenCategory=Ours, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 61.95 | |
| TEA-GLM-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 61.85 | |
| TEA-GLM-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 60.95 | |
| GraphCLCategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 60.85 | |
| SimGRACECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 60.15 | |
| DGICategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 55.75 | |
| LLaGA-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 55.18 | |
| GLIP-QwenEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Qwen2026.06 | 54.51 | |
| TEA-GLM-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 53.28 | |
| GLIP-MistralEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Mistral2026.06 | 53.09 | |
| GraphMAECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 53.08 | |
| GraphCLEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 53.07 | |
| DGIEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 52.38 | |
| LLaGA-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 52.2 | |
| TEA-GLM-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 52.1 | |
| SimGRACEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 50.64 | |
| LLaGA-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 50.55 | |
| GraphMAEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 50.45 | |
| LLaGA-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 50.19 |