Decagon

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs3 results

Link PredictiononDecagon
AUPRC· 2018-02-02
0.832
best: 0.89 (TIP)
SOTA
Modeling polypharmacy side effects with graph convolutional networks arXiv:1802.00543
Link PredictiononDecagon
AUROC· 2018-02-02
0.872
best: 0.914 (TIP)
SOTA
Modeling polypharmacy side effects with graph convolutional networks arXiv:1802.00543
Link PredictiononDecagon
mAP@50· 2018-02-02
0.803
best: 0.89 (TIP)
SOTA
Modeling polypharmacy side effects with graph convolutional networks arXiv:1802.00543