Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)

Authors

  • Mengying Sun Michigan State University
  • Fei Wang Cornell University
  • Olivier Elemento Cornell University
  • Jiayu Zhou Michigan State University

DOI:

https://doi.org/10.1609/aaai.v34i10.7236

Abstract

In this work, we proposed a DDI detection method based on molecular structures using graph convolutional networks and deep sets. We proposed a more discriminative convolutional layer compared to conventional GCN and achieved permutation invariant prediction without losing the capability of capturing complicated interactions.

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Published

2020-04-03

How to Cite

Sun, M., Wang, F., Elemento, O., & Zhou, J. (2020). Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13927-13928. https://doi.org/10.1609/aaai.v34i10.7236

Issue

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Section

Student Abstract Track