2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SS-16: Theoretical Foundations of Graph Neural Networks

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
 
SS-16.1: DISCRIMINABILITY OF SINGLE-LAYER GRAPH NEURAL NETWORKS
         Samuel Pfrommer; University of Pennsylvania
         Fernando Gama; University of California, Berkeley
         Alejandro Ribeiro; University of Pennsylvania
 
SS-16.2: ON THE STABILITY OF GRAPH CONVOLUTIONAL NEURAL NETWORKS UNDER EDGE REWIRING
         Henry Kenlay; University of Oxford
         Dorina Thanou; Swiss Data Science Center
         Xiaowen Dong; University of Oxford
 
SS-16.3: GEOMETRIC SCATTERING ATTENTION NETWORKS
         Yimeng Min; Université de Montréal; Mila - Quebec AI Institute
         Frederik Wenkel; Université de Montréal; Mila - Quebec AI Institute
         Guy Wolf; Université de Montréal; Mila - Quebec AI Institute
 
SS-16.4: EGO-GNNS: EXPLOITING EGO STRUCTURES IN GRAPH NEURAL NETWORKS
         Dylan Sandfelder; McGill University
         Priyesh Vijayan; McGill University
         William Hamilton; McGill University
 
SS-16.5: LEARNING THE RELEVANT SUBSTRUCTURES FOR TASKS ON GRAPH DATA
         Lei Chen; New York University
         Zhengdao Chen; New York University
         Joan Bruna; New York University
 
SS-16.6: A SHORT TUTORIAL ON THE WEISFEILER-LEHMAN TEST AND ITS VARIANTS
         Ningyuan (Teresa) Huang; Johns Hopkins University
         Soledad Villar; Johns Hopkins University