Network Classification on NCI1
78.61F1 ScoreSGN(0,1,2)
Evaluation Results
| Method | Links | |
|---|---|---|
| SGN(0,1,2)Feature Extraction=CapsGNN2019.03 | 78.61 | |
| SGN(0,1)Feature Extraction=CapsGNN2019.03 | 78.42 | |
| SGN(0)Feature Extraction=CapsGNN2019.03 | 78.3 | |
| SGN(0,2)Feature Extraction=Graph2vec2019.03 | 77.54 | |
| SGN(0,1,2)Feature Extraction=WL2019.03 | 77.03 | |
| SGN(0,1,2)Feature Extraction=Graph2vec2019.03 | 76.64 | |
| SGN(1)Feature Extraction=CapsGNN2019.03 | 74.7 | |
| SGN(0,2)Feature Extraction=CapsGNN2019.03 | 73.78 | |
| SGN(0,1)Feature Extraction=Graph2vec2019.03 | 73.65 | |
| SGN(0)Feature Extraction=Graph2vec2019.03 | 73.22 | |
| SGN(0,1)Feature Extraction=WL2019.03 | 72.49 | |
| SGN(1,2)Feature Extraction=CapsGNN2019.03 | 70.53 | |
| SGN(0,1,2)Feature Extraction=Deep WL2019.03 | 70.26 | |
| SGN(0,2)Feature Extraction=Deep WL2019.03 | 70.12 | |
| SGN(0,2)Feature Extraction=WL2019.03 | 70.11 | |
| SGN(0,1)Feature Extraction=Deep WL2019.03 | 70.1 | |
| SGN(0,1,2)Feature Extraction=Handcraft2019.03 | 69.84 | |
| SGN(2)Feature Extraction=CapsGNN2019.03 | 69.82 | |
| SGN(0,2)Feature Extraction=Handcraft2019.03 | 69.39 | |
| SGN(0,1)Feature Extraction=Handcraft2019.03 | 68.76 | |
| SGN(1,2)Feature Extraction=Handcraft2019.03 | 68.13 | |
| SGN(0)Feature Extraction=Handcraft2019.03 | 67.48 | |
| SGN(1,2)Feature Extraction=Graph2vec2019.03 | 67.47 | |
| SGN(0)Feature Extraction=Deep WL2019.03 | 67.06 | |
| SGN(0)Feature Extraction=WL2019.03 | 66.19 | |
| SGN(1)Feature Extraction=Handcraft2019.03 | 65.72 | |
| SGN(2)Feature Extraction=Handcraft2019.03 | 65.35 | |
| SGN(2)Feature Extraction=Graph2vec2019.03 | 61.31 | |
| SGN(1,2)Feature Extraction=Deep WL2019.03 | 59.95 | |
| SGN(1)Feature Extraction=WL2019.03 | 58.24 | |
| SGN(1,2)Feature Extraction=WL2019.03 | 56 | |
| SGN(1)Feature Extraction=Deep WL2019.03 | 55.45 | |
| SGN(2)Feature Extraction=Deep WL2019.03 | 55.22 | |
| SGN(1)Feature Extraction=Graph2vec2019.03 | 54.56 | |
| SGN(2)Feature Extraction=WL2019.03 | 52.62 |