Node Classification on Reddit
97.59AccuracyBase
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BaseM=GNN A2026.06 | 97.59 | — | — | — | |
| EnGCN w.o. SLECategory=Ours2022.10 | 96.92 | — | — | — | |
| GNNMERGEM=GNN A2026.06 | 96.8 | — | — | — | |
| GAMLPCategory=Decoupling-based2022.10 | 96.73 | — | — | — | |
| EnGCNCategory=Ours2022.10 | 96.66 | — | — | — | |
| GraphSAGECategory=Sampling-based2022.10 | 96.5 | — | — | — | |
| SAGNCategory=Decoupling-based2022.10 | 96.48 | — | — | — | |
| AdaGCNCategory=Others2022.10 | 96.05 | — | — | — | |
| GraphMAELearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 96.01 | — | — | — | |
| GATLearning paradigm=Supervised2022.05 | 96 | — | — | — | |
| SIGNCategory=Decoupling-based2022.10 | 95.95 | — | — | — | |
| GraphSAINTGNN Model=GAT2024.06 | 95.81 | — | — | — | |
| ClusterGCNCategory=Sampling-based2022.10 | 95.68 | — | — | — | |
| GraphSAINTCategory=Sampling-based2022.10 | 95.62 | — | — | — | |
| C&SCategory=Decoupling-based2022.10 | 95.33 | — | — | — | |
| GCNLearning paradigm=Supervised2022.05 | 95.3 | — | — | — | |
| CCA-SSGLearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 95.07 | — | — | — | |
| VQ-GNNGNN Model=GCN2024.06 | 94.85 | — | — | — | |
| GRACELearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 94.72 | — | — | — | |
| SGC2024.06 | 94.64 | — | — | — | |
| Sketch-GNNGNN Model=GraphSAGE, Sketch Ratio (c/n)=0.32024.06 | 94.49 | — | — | — | |
| Sketch-GNNGNN Model=GAT, Sketch Ratio (c/n)=0.32024.06 | 94.38 | — | — | — | |
| BaseM=GNN B2026.06 | 94.35 | — | — | — | |
| VQ-GNNGNN Model=GAT2024.06 | 94.31 | — | — | — | |
| GNNMERGEM=GNN B2026.06 | 94.3 | — | — | — | |
| BGRLLearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 94.22 | — | — | — | |
| DGILearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 94 | — | — | — | |
| VQ-GNNGNN Model=GraphSAGE2024.06 | 93.99 | — | — | — | |
| ICGu-NN2024.05 | 93.6 | — | — | — | |
| SGCCategory=Decoupling-based2022.10 | 93.51 | — | — | — | |
| Sketch-GNNGNN Model=GCN, Sketch Ratio (c/n)=0.32024.06 | 93.26 | — | — | — | |
| Mario-8BModality=Text+Image, Training Protocol=Mix-Training2026.03 | 93.2 | — | — | — | |
| GraphSAINTGNN Model=GCN2024.06 | 92.8 | — | — | — | |
| PERMUTEM=GNN A2026.06 | 92.33 | — | — | — | |
| GraphSAINTGNN Model=GraphSAGE2024.06 | 92.25 | — | — | — | |
| GITM=GNN A2026.06 | 92.1 | — | — | — | |
| MLaGAModality=Text+Image, Training Protocol=Mix-Training2026.03 | 91.45 | — | — | — | |
| LLaGAModality=Text-only, Training Protocol=Mix-Training2026.03 | 91.14 | — | — | — | |
| DC-Graph2024.05 | 90.5 | — | — | — | |
| SAGEModality=Text+Image, Training Protocol=Mix-Training2026.03 | 90.39 | — | — | — | |
| GraphPrompterModality=Text-only, Training Protocol=Mix-Training2026.03 | 90.36 | — | — | — | |
| SAGEModality=Image-only, Training Protocol=Mix-Training2026.03 | 90.25 | — | — | — | |
| GCOND2024.05 | 90.1 | — | — | — | |
| ZIPIT!M=GNN A2026.06 | 90.01 | — | — | — | |
| SAGEModality=Text-only, Training Protocol=Mix-Training2026.03 | 89.96 | — | — | — | |
| SFGC2024.05 | 89.9 | — | — | — | |
| GCNModality=Text+Image, Training Protocol=Mix-Training2026.03 | 89.87 | — | — | — | |
| ICG-NN2024.05 | 89.6 | — | — | — | |
| GCNModality=Image-only, Training Protocol=Mix-Training2026.03 | 89.3 | — | — | — | |
| WAVG.M=GNN A2026.06 | 88.38 | — | — | — | |
| LADIESCategory=Sampling-based2022.10 | 86.96 | — | — | — | |
| GCNModality=Text-only, Training Protocol=Mix-Training2026.03 | 86.17 | — | — | — | |
| GRAPHGLUETransfer Type=Cross-domain, Setting=5-shot2026.02 | 85.05 | — | — | — | |
| GRAPHGLUEn-shot=5-shot2026.02 | 85 | — | — | — | |
| GRAPHGLUEtransfer_type=intra-domain, shots=5-shot2026.02 | 84.89 | — | — | — | |
| SCGFMPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.05 | 84.17 | — | — | — | |
| SCGFMPre-training Domain=Trained on N2 (OOD), Evaluation protocol=5-shot2026.05 | 84.16 | — | — | — | |
| SURGERYM=GNN A2026.06 | 83.59 | — | — | — | |
| GCOPEtransfer_type=intra-domain, shots=5-shot2026.02 | 82.12 | — | — | — | |
| MDGFMtransfer_type=intra-domain, shots=5-shot2026.02 | 81.27 | — | — | — | |
| GCOPETransfer Type=Cross-domain, Setting=5-shot2026.02 | 80.45 | — | — | — | |
| GCOPEn-shot=5-shot2026.02 | 80.4 | — | — | — | |
| FastGCNCategory=Sampling-based2022.10 | 79.5 | — | — | — | |
| MDGFMTransfer Type=Cross-domain, Setting=5-shot2026.02 | 76.55 | — | — | — | |
| MDGFMn-shot=5-shot2026.02 | 76.5 | — | — | — | |
| S2GAEPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.05 | 75.28 | — | — | — | |
| SAMGPTTransfer Type=Cross-domain, Setting=5-shot2026.02 | 75.12 | — | — | — | |
| SAMGPTn-shot=5-shot2026.02 | 75.1 | — | — | — | |
| SAMGPTtransfer_type=intra-domain, shots=5-shot2026.02 | 74.89 | — | — | — | |
| SURGERYM=GNN B2026.06 | 74.58 | — | — | — | |
| ZIPIT!M=GNN B2026.06 | 74.03 | — | — | — | |
| PERMUTEM=GNN B2026.06 | 72.21 | — | — | — | |
| GFTtransfer_type=intra-domain, shots=5-shot2026.02 | 71.37 | — | — | — | |
| Herding2024.05 | 71 | — | — | — | |
| GraphSearch-FLLM backbone=Qwen2.5-72B, Evaluation protocol=zero-shot, retrieval=top-5 documents2026.01 | 68.7 | — | — | — | |
| RGLM-DecoderFramework=GTokenLLMs, base_LLM=Vicuna-7B-v1.5-16K2026.03 | 68.64 | 68.54 | — | — | |
| DANCERatio=8%2026.01 | 68.45 | — | — | — | |
| GRAPHGLUEShot=1-shot, Transfer Type=intra-domain transfer2026.02 | 68.42 | — | — | — | |
| NodeFormerFramework=GNNs2026.03 | 68.06 | 67.89 | — | — | |
| SFGCRatio=8%2026.01 | 67.96 | — | — | — | |
| DANCERatio=4%2026.01 | 67.88 | — | — | — | |
| GraphCLPre-training Domain=Trained on N1 (OOD), Evaluation protocol=5-shot2026.05 | 67.75 | — | — | — | |
| GraspLLMBackbone=Qwen3-8B, Evaluation Protocol=Supervised2026.06 | 67.7 | — | — | — | |
| RGLM-DenoiserFramework=GTokenLLMs, base_LLM=Vicuna-7B-v1.5-16K2026.03 | 67.64 | 67.5 | — | — | |
| LLaTARatio=Full2026.01 | 67.62 | — | — | — | |
| GraphCLPre-training Domain=Trained on N2 (OOD), Evaluation protocol=5-shot2026.05 | 67.56 | — | — | — | |
| GCondRatio=8%2026.01 | 67.23 | — | — | — | |
| GraspLLMBackbone=Vicuna-7B-v1.5, Evaluation Protocol=Supervised2026.06 | 67.2 | — | — | — | |
| GRAPHGLUEsetting=1-shot, transfer=cross-domain2026.02 | 67.12 | — | — | — | |
| GRAPHGLUEn-shot=1-shot2026.02 | 67.1 | — | — | — | |
| GraspLLMBackbone=LLaMA-3.1-8B, Evaluation Protocol=Supervised2026.06 | 66.8 | — | — | — | |
| RGLM-SimilarizerFramework=GTokenLLMs, base_LLM=Vicuna-7B-v1.5-16K2026.03 | 66.79 | 66.77 | — | — | |
| GraphSearch-RLLM backbone=Qwen2.5-72B, Evaluation protocol=zero-shot, retrieval=top-5 documents2026.01 | 66.6 | — | — | — | |
| SFGCRatio=4%2026.01 | 66.53 | — | — | — | |
| GraspLLMBackbone=Mistral-7B-v0.3, Evaluation Protocol=Supervised2026.06 | 66.5 | — | — | — | |
| LLaGAFramework=GTokenLLMs, base_LLM=Vicuna-7B-v1.5-16K2026.03 | 66.38 | 66.38 | — | — | |
| Random2024.05 | 66.3 | — | — | — | |
| RAGraphtransfer_type=intra-domain, shots=5-shot2026.02 | 66.3 | — | — | — | |
| GFTTransfer Type=Cross-domain, Setting=5-shot2026.02 | 66.28 | — | — | — | |
| GFTn-shot=5-shot2026.02 | 66.2 | — | — | — |