Learning Discrete Structures for Graph Neural Networks | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=e9QVrkKj-dg


Duration: 1:15:54
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For slides and more information on the paper, visit https://aisc.a-i.science/events/2019-05-27

Discussion lead: Sia Rezaei


Motivation:
Graph networks rely on the graph structure existing before hand which is not always the case. Here the authors present a novel method for learning the graph structure (using bilevel programming) simultaneously with training a GCN on the resulting graph.



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