Network Classification on NCI109
75.39F1 ScoreSGN(0,2)
Evaluation Results
| Method | Links | |
|---|---|---|
| SGN(0,2)Feature Extraction=Graph2vec2019.03 | 75.39 | |
| SGN(0,1,2)Feature Extraction=Graph2vec2019.03 | 74.86 | |
| SGN(0)Feature Extraction=Graph2vec2019.03 | 74.26 | |
| SGN(0,1,2)Feature Extraction=CapsGNN2019.03 | 73.72 | |
| SGN(0,1)Feature Extraction=CapsGNN2019.03 | 73.28 | |
| SGN(0,1)Feature Extraction=Graph2vec2019.03 | 73.18 | |
| SGN(0)Feature Extraction=CapsGNN2019.03 | 72.99 | |
| SGN(0,1,2)Feature Extraction=WL2019.03 | 72.92 | |
| SGN(0,2)Feature Extraction=CapsGNN2019.03 | 71.52 | |
| SGN(0,1,2)Feature Extraction=Deep WL2019.03 | 71.06 | |
| SGN(1,2)Feature Extraction=CapsGNN2019.03 | 70.64 | |
| SGN(1)Feature Extraction=CapsGNN2019.03 | 69.82 | |
| SGN(0,1,2)Feature Extraction=Handcraft2019.03 | 69.73 | |
| SGN(0,2)Feature Extraction=WL2019.03 | 69.67 | |
| SGN(0,1)Feature Extraction=WL2019.03 | 69.5 | |
| SGN(0,1)Feature Extraction=Deep WL2019.03 | 69.39 | |
| SGN(0)Feature Extraction=WL2019.03 | 69.26 | |
| SGN(0,1)Feature Extraction=Handcraft2019.03 | 68.88 | |
| SGN(0,2)Feature Extraction=Deep WL2019.03 | 68.61 | |
| SGN(1,2)Feature Extraction=Handcraft2019.03 | 68.48 | |
| SGN(1,2)Feature Extraction=Graph2vec2019.03 | 68.12 | |
| SGN(0,2)Feature Extraction=Handcraft2019.03 | 68.09 | |
| SGN(0)Feature Extraction=Handcraft2019.03 | 67.34 | |
| SGN(0)Feature Extraction=Deep WL2019.03 | 67.04 | |
| SGN(2)Feature Extraction=CapsGNN2019.03 | 67.04 | |
| SGN(1)Feature Extraction=Handcraft2019.03 | 66.25 | |
| SGN(2)Feature Extraction=Handcraft2019.03 | 64.15 | |
| SGN(2)Feature Extraction=WL2019.03 | 58.26 | |
| SGN(1,2)Feature Extraction=WL2019.03 | 57.92 | |
| SGN(1)Feature Extraction=WL2019.03 | 57.68 | |
| SGN(1)Feature Extraction=Deep WL2019.03 | 57.63 | |
| SGN(1)Feature Extraction=Graph2vec2019.03 | 56.35 | |
| SGN(1,2)Feature Extraction=Deep WL2019.03 | 56.24 | |
| SGN(2)Feature Extraction=Deep WL2019.03 | 55.68 | |
| SGN(2)Feature Extraction=Graph2vec2019.03 | 53.54 |