Deep Exploration of non-Euclidean Data with Geometric and Topological Representation Learning
Videos from BIRS Workshop
Ira Ktena, DeepMind - Google
Monday Jul 11, 2022 08:00 - 08:45
How fair is your graph? Exploring fairness concerns in neuroimaging studies
Stephan Günnemann, Technical University of Munich
Monday Jul 11, 2022 08:45 - 09:30
Graph Neural Networks for Molecular Systems
Bastian Rieck, Helmholtz Munich
Monday Jul 11, 2022 10:10 - 10:45
Geometrical-Topological Loss Terms for Shape Analysis
Santiago Segarra, Rice University
Monday Jul 11, 2022 12:45 - 13:30
Principled Simplicial Neural Networks
Michael Perlmutter, UCLA
Monday Jul 11, 2022 14:45 - 15:30
Geometric Scattering: Theory and Applications
Elizabeth Munch, Michigan State University
Tuesday Jul 12, 2022 08:00 - 09:00
Crafting Topological Features
Teresa Huang, Johns Hopkins University
Tuesday Jul 12, 2022 09:00 - 09:30
Graph Symmetry and Graph Spectra
Ron Levie, Technion - Israel Institute of Technology
Tuesday Jul 12, 2022 10:00 - 10:45
A New Generalization Bound for Message Passing Neural
Edward De Brouwer, KU Leuven
Tuesday Jul 12, 2022 10:45 - 11:30
Topological Graph Neural Networks
Renjie Liao, University of British Columbia
Tuesday Jul 12, 2022 12:45 - 13:30
On the Generalization of Graph Neural Networks
Sarah McGuire, Michigan State University
Tuesday Jul 12, 2022 13:30 - 14:15
A Simplicial Pooling Layer
Mikhail Galkin, McGill University; Mila
Tuesday Jul 12, 2022 14:45 - 15:30
Inductive Graph Reasoning Without Node Features
Christopher Morris, RWTH Aachen
Wednesday Jul 13, 2022 08:00 - 08:45
Towards Understanding the Expressive Power of Graph Networks
Oluwadamilola Fasina, Yale University
Wednesday Jul 13, 2022 08:45 - 09:30
Diffusion Curvature for Estimating Local Curvature of High-Dimensional Systems
Smita Krishnaswamy, Yale
Wednesday Jul 13, 2022 10:00 - 11:00
Flows and Dynamics on Manifolds with Neural ODEs
Frederik Wenkel, Université de Montréal
Wednesday Jul 13, 2022 11:00 - 11:30
Solving Graph Learning Tasks via Hybrid Scattering Networks
Cristian Bodnar, University of Cambridge
Thursday Jul 14, 2022 08:00 - 08:45
Deep Learning on Topological Spaces
Ameya Velingker, Google Research
Thursday Jul 14, 2022 08:45 - 09:30
Affinity-Aware Graph Networks
Yan Leng, University of Texas at Austin
Thursday Jul 14, 2022 10:00 - 10:45
Learning to Infer Structures of Network Games
Ladislav Rampasek, Université de Montréal
Thursday Jul 14, 2022 10:45 - 11:30
Recipe for a General, Powerful, Scalable Graph Transformer
Soledad Villar, Johns Hopkins
Thursday Jul 14, 2022 12:45 - 13:45
Exact units equivariance in machine learning
Guy Wolf, Université de Montréal
Thursday Jul 14, 2022 13:45 - 14:30
Multiscale exploration of single cell data with geometric harmonic analysis
Hannes Stärk, MIT
Friday Jul 15, 2022 08:00 - 08:45
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Alex Tong, Université de Montréal
Friday Jul 15, 2022 08:45 - 09:30
Multiscale Earth Mover’s Distances
