CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology

Lecture 18 - Graph Neural Networks in Computational Biology Jure Leskovec Computer Science, PhD We are glad to invite Prof. Marinka Zitnik from Harvard University to give a lecture on Graph Neural Networks in Computational Biology. In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs. To follow along with the course schedule and syllabus, visit: To get the latest news on Stanford’s upcoming professional programs in Artificial Intelligence, visit: To view all online courses and programs offered by Stanford, visit: