Post #166

Graph Machine Learning research groups: Joan Bruna I do a series of posts on the groups in graph research, previous post is here. The seventh is Joan Bruna. He was one of the authors of the survey Geometric Deep Learning: going beyond Euclidean Data and now has increasingly more papers on the theoretical explanations of GNN. Joan Bruna (~1981) - Affiliation: New York University - Education: Ph.D. at Ecole Polytechnique, France in 2013 (supervised by Stephane Mallat); - h-index: 27; - Awards: NSF career award, Sloan fellowship, ICMLA best paper; - Interests: GNN theory, equivariant networks