2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
SS-16: Theoretical Foundations of Graph Neural Networks |
| Session Type: Poster |
| Time: Friday, 11 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Fernando Gama, University of California, Berkeley |
| 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 |