SVM tests summary
Macro-F1: 0.225872~0.055853 (0.8), 0.190818~0.025660 (0.6), 0.181179~0.010071 (0.4), 0.172284~0.026592 (0.2)
Micro-F1: 0.529167~0.096914 (0.8), 0.508333~0.043899 (0.6), 0.516667~0.029659 (0.4), 0.469792~0.090745 (0.2)
K-means tests summary
NMI: 0.044030~0.000000
ARI: -0.002919~0.000000
I ran this on a dblp subgraph I got myself. Is this normal? What should normal look like? Maybe there is something wrong? Thanks for your answer.
Can other models achieve normal performance on your extracted subgraph? You may also need to check if you properly run the MAGNN preprocessing code on your subgraph.
NMI: 0.044030~0.000000 ARI: -0.002919~0.000000
SVM tests summary Macro-F1: 0.225872~0.055853 (0.8), 0.190818~0.025660 (0.6), 0.181179~0.010071 (0.4), 0.172284~0.026592 (0.2) Micro-F1: 0.529167~0.096914 (0.8), 0.508333~0.043899 (0.6), 0.516667~0.029659 (0.4), 0.469792~0.090745 (0.2) K-means tests summary NMI: 0.044030~0.000000 ARI: -0.002919~0.000000 I ran this on a dblp subgraph I got myself. Is this normal? What should normal look like? Maybe there is something wrong? Thanks for your answer.