309 citations · 1.2k across the 38 of their papers we have counts for
Showing 2019 · stat.MLShow all
2 papers · 2 filters
stat.ML2019★ 3 cited
Neural Execution of Graph Algorithms
Petar Veličković, Rex Ying, Matilde Padovano +2
Graph Neural Networks (GNNs) are a powerful representational tool for solving problems on graph-structured inputs. In almost all cases so far, however, they have been applied to di…
stat.ML2019★ 69 cited
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Veličković +2
Complex or co-existing diseases are commonly treated using drug combinations, which can lead to higher risk of adverse side effects. The detection of polypharmacy side effects is u…