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Graph Machine Learning research groups: StefanieJegelka I do a series of posts on the groups in graph research, previous post is here. The 22nd is Stefanie Jegelka, a professor at MIT working on submodular functions, DPP, and more recently on theoretical aspects of GNNs. Stefanie Jegelka (~1986) - Affiliation: MIT - Education: Ph.D. at Max Planck Institute for Intelligent Systems, Tubingen and ETH Zurich in 2012 (advisors: Jeff Bilmes, Bernhard Scholkopf, Andreas Krause) - h-index 33 - Awards: Joseph A Martore Award, NSF CAREER Award, best papers at ICML, NeurIPS - Interests: generalization and expressivity of GNNs, clustering and graph partitioning