Node Classification on Goodreads
78.54AccuracyLION
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LION2026.01 | 78.54 | 68.91 | |
| CAMPA2026.05 | 76.93 | 67.29 | |
| UniGraph22026.05 | 74.31 | 67.43 | |
| UniGraph22026.01 | 72.82 | 65.32 | |
| NTSFormer2026.01 | 71.19 | 65.8 | |
| DGF2026.05 | 70.21 | 64.05 | |
| MIG-GT2026.05 | 70.16 | 66.35 | |
| LGMRec2026.05 | 69.54 | 64.99 | |
| SIGN2026.05 | 68.44 | 65.03 | |
| MIG-GT2026.01 | 68.24 | 64.87 | |
| MGDN2026.05 | 67.52 | 64.46 | |
| Graph4MM2026.01 | 67.18 | 61.35 | |
| DGF2026.01 | 66.83 | 62.54 | |
| MLaGA2026.01 | 66.42 | 60.29 | |
| InstructG2I2026.01 | 65.84 | 59.93 | |
| DMGC2026.05 | 65.18 | 62.86 | |
| MSGC2026.05 | 64.35 | 61.47 | |
| GraphGPT-O2026.01 | 64.25 | 58.76 | |
| DMGC2026.01 | 63.42 | 61.18 | |
| MGAT2026.05 | 62.11 | 55.82 | |
| MMGCN2026.05 | 60.11 | 54.56 | |
| MGAT2026.01 | 59.88 | 53.75 | |
| GAT2026.05 | 58.94 | 53.02 | |
| MMGCN2026.01 | 58.54 | 52.36 | |
| GAT2026.01 | 57.12 | 51.08 | |
| GCN2026.01 | 56.03 | 50.14 |