Modeling polypharmacy side effects with graph convolutional networks

The use of drug combinations, termed polypharmacy, is common to treat patients with complex diseases and co-existing conditions. However, a major consequence of polypharmacy is a much higher risk of adverse side effects for the patient... (read more)

PDF Abstract

Datasets


Introduced in the Paper:

Decagon

Mentioned in the Paper:

PPI

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Link Prediction Decagon Decagon AUROC 0.872 # 1
AUPRC 0.832 # 1
mAP@50 0.803 # 2

Methods used in the Paper


METHOD TYPE
RGCN
Graph Models