Marinka Zitnik

Fusing bits and DNA

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Submit to ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds

Many scientific fields study data with an underlying graph or manifold structure—such as protein networks, sensor networks, and biomedical knowledge graphs. The need for new optimization methods and neural network architectures that can accommodate these relational and non-Euclidean structures is becoming increasingly important.

We are organizing a workshop on Representation Learning on Graphs and Manifolds at the ICLR 2019. We encourage submissions to the workshop on topics related to graph and manifold representation learning.