Graph Classification On Upfd Gos
評価指標
Accuracy (%)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| UPFD-BiGCN | 91.27 | User Preference-aware Fake News Detection | - |
| UPFD-GCN | 95.11 | User Preference-aware Fake News Detection | - |
| UPFD-GAT | 96.52 | User Preference-aware Fake News Detection | - |
| UPFD-SAGE | 97.54 | User Preference-aware Fake News Detection | - |
| GCNFN | 95.90 | User Preference-aware Fake News Detection | - |
| HGFND | 97.46±0.30 | Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks | - |
| UPFD-GCNFN | 96.11 | User Preference-aware Fake News Detection | - |
| GNNCL | 93.60 | User Preference-aware Fake News Detection | - |
0 of 8 row(s) selected.