01:02:09
Keynote: Sensible Learning Tools for Shape Analysis (Prof. Justin Solomon)
49:49
Type-checking Graph Neural Networks (Dr. Petar Veličković)
56:42
Fisher Information Geometry of Beta and Dirichlet Distributions (Dr. Alice Le Brigant)
01:22:36
Tutorial: PyTorch Geometric (Jianxuan You, Rex Ying)
59:04
From Equivariance to Naturality (Dr. Taco Cohen)
55:05
LOGML - Smita Krishnaswamy
01:12:17
Tutorial: Topological Data Analysis (Katherine Benjamin)
53:45
Universes as Big-Data: Physics, Geometry & AI (Prof. Yang-Hui He)
56:29
Keynote: Computational Topology and Applications to Biological Data (Prof. Heather Harrington)
00:17
LOGML 2022 IS COMING!
51:08
LOGML + WiC Tutorial: Getting started on graph ML
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