Node Classification on DBLP (20% train)
93.13Macro F1MAGNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAGNNLearning paradigm=Semi-supervised, Classifier=Linear SVM2020.02 | 93.13 | 93.61 | |
| HGNN-AR22024.09 | 92.54 | 93.02 | |
| MGDCR2024.09 | 92.04 | 92.43 | |
| AMOGCN2024.09 | 92.02 | 92.46 | |
| HANLearning paradigm=Semi-supervised, Classifier=Linear SVM2020.02 | 91.69 | 92.33 | |
| HMGE2024.09 | 91.56 | 92.35 | |
| GATLearning paradigm=Semi-supervised, Classifier=Linear SVM2020.02 | 91.05 | 91.61 | |
| HDGI-CAvailable data=X, A2019.11 | 90.94 | 91.75 | |
| MHGCN2024.09 | 90.9 | 92.17 | |
| HERecLearning paradigm=Unsupervised, Classifier=Linear SVM2020.02 | 90.82 | 91.49 | |
| ESimLearning paradigm=Unsupervised, Classifier=Linear SVM2020.02 | 90.68 | 91.21 | |
| HGATE2024.09 | 90.25 | 91.15 | |
| HDGI-AAvailable data=X, A2019.11 | 89.88 | 90.62 | |
| MRGCN2024.09 | 89.53 | 90.51 | |
| SSDCM2024.09 | 89.44 | 89.94 | |
| HANAvailable data=X, A, Y2019.11 | 89.23 | 89.92 | |
| DGIAvailable data=X, A2019.11 | 89.21 | 89.75 | |
| metapath2vecLearning paradigm=Unsupervised, Classifier=Linear SVM2020.02 | 88.47 | 89.02 | |
| GCNLearning paradigm=Semi-supervised, Classifier=Linear SVM2020.02 | 88 | 88.51 | |
| LINELearning paradigm=Unsupervised, Classifier=Linear SVM2020.02 | 87.16 | 87.68 | |
| node2vecLearning paradigm=Unsupervised, Classifier=Linear SVM2020.02 | 86.7 | 87.21 | |
| GATAvailable data=X, A, Y2019.11 | 81.48 | 82.44 | |
| GCNAvailable data=X, A, Y2019.11 | 81.28 | 81.92 | |
| RawAvailable data=X2019.11 | 74.73 | 75.52 | |
| DW+FAvailable data=X, A2019.11 | 70.63 | 71.63 | |
| M2VAvailable data=A2019.11 | 68.74 | 69.85 | |
| DWAvailable data=A2019.11 | 23.02 | 28.05 | |
| RGCNAvailable data=X, A, Y2019.11 | 21.32 | 19.32 |