192 citations · 334 across the 14 of their papers we have counts for
Showing 2018Show all
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q-bio.QM2018★ 2 cited
Structure-Based Networks for Drug Validation
Cătălina Cangea, Arturas Grauslys, Pietro Liò +1
Classifying chemicals according to putative modes of action (MOAs) is of paramount importance in the context of risk assessment. However, current methods are only able to handle a…
stat.ML2018★ 192 cited
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
Recent advances in representation learning on graphs, mainly leveraging graph convolutional networks, have brought a substantial improvement on many graph-based benchmark tasks. Wh…