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2024 ICML ICML 2024

Position: Future Directions in the Theory of Graph Machine Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🐣 Hot Topic Early Bird - optimization

Authors

Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Optimization & Theory > Theory Deep Learning > Architectures > Graph Neural Networks

Keywords

optimization expressive power generalization graph neural network theory interplay
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