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Deep Generative Models for Graphs: Methods & Applications

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May 06 2019 Jure Leskovec

Deep Generative Models for Graphs: Methods & Applications. Slides from my talk at #ICLR2019 workshop on Representation Learning on Graphs and Manifolds. http://i.stanford.edu/~jure/pub/talks2/graph_gen-iclr-may19-long.pdf https://t.co/QgjmwOJ8ms
6 replies, 513 likes


May 06 2019 Vijay Pande

Molecules as graphs is a natural and powerful representation for the application area and some interesting computer science to figure out.
2 replies, 76 likes


May 07 2019 Xiang Ren

Awesome overview of recent advances on deep generative models for graph from @jure. Excited to be part of the effort!
0 replies, 5 likes


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