SS-L23: Deep Graph Learning |
| Session Type: Lecture |
| Time: Friday, 8 May, 08:00 - 10:00 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chairs: Sundeep Prabhakar Chepuri, Indian Institute of Science, Antonio G. Marques, King Juan Carlos University, Santiago Segarra, Rice University and Zheng Zhang, Amazon AWS Shanghai AI lab and NYU Shanghai |
| SS-L23.1: EFFICIENT BELIEF PROPAGATION FOR GRAPH MATCHING |
| Efe Onaran; New York University |
| Soledad Villar; New York University |
| SS-L23.2: SUPERVISED GRAPH REPRESENTATION LEARNING FOR MODELING THE RELATIONSHIP BETWEEN STRUCTURAL AND FUNCTIONAL BRAIN CONNECTIVITY |
| Yang Li; University of Rochester |
| Rasoul Shafipour; University of Rochester |
| Gonzalo Mateos; University of Rochester |
| Zhengwu Zhang; University of Rochester |
| SS-L23.3: STABILITY OF GRAPH NEURAL NETWORKS TO RELATIVE PERTURBATIONS |
| Fernando Gama; University of Pennsylvania |
| Joan Bruna; New York University |
| Alejandro Ribeiro; University of Pennsylvania |
| SS-L23.4: ACTIVE SEMI-SUPERVISED LEARNING FOR DIFFUSIONS ON GRAPHS |
| Bishwadeep Das; Delft University of Technology |
| Elvin Isufi; Delft University of Technology |
| Geert Leus; Delft University of Technology |
| SS-L23.5: STOCHASTIC GRAPH NEURAL NETWORKS |
| Zhan Gao; University of Pennsylvania |
| Elvin Isufi; Delft University of Technology |
| Alejandro Ribeiro; University of Pennsylvania |
| SS-L23.6: GENERATIVE ADVERSARIAL NETWORKS FOR GRAPH DATA IMPUTATION FROM SIGNED OBSERVATIONS |
| Amarlingam Madapu; Indian Institute of Science |
| Santiago Segarra; Rice University |
| Sundeep Prabhakar Chepuri; Indian Institute of Science |
| Antonio Marques; King Juan Carlos University |