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🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology

💥Free recorded course by Prof. Marinka Zitnik

💥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.

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📲Channel: @ComplexNetworkAnalysis

#video #course #Graph #GNN #Machine_Learning #computational_biology
YouTube Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC Lecture 18 - Graph Neural Networks in Computational Biology Jure Leskovec Computer Science, PhD We are glad to invite Prof.…
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