SS-L3: A Signal-Processing View of Graph Neural Networks |
| Session Type: Lecture |
| Time: Tuesday, 5 May, 11:30 - 13:30 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chair: Siheng Chen, Mitsubishi Electric Research Laboratories (MERL) |
| SS-L3.1: GRAPH NEURAL NET USING ANALYTICAL GRAPH FILTERS AND TOPOLOGY OPTIMIZATION FOR IMAGE DENOISING |
| Wengtai Su; National Tsing Hua University |
| Gene Cheung; York University |
| Richard P. Wildes; York University |
| Chia-Wen Lin; National Tsing Hua University |
| SS-L3.2: DEFENDING GRAPH CONVOLUTIONAL NETWORKS AGAINST ADVERSARIAL ATTACKS |
| Vassilis N. Ioannidis; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |
| SS-L3.3: CONSTRAINED SPECTRAL CLUSTERING FOR DYNAMIC COMMUNITY DETECTION |
| Abdullah Karaaslanli; Michigan State University |
| Selin Aviyente; Michigan State University |
| SS-L3.4: TOWARDS AN EFFICIENT AND GENERAL FRAMEWORK OF ROBUST TRAINING FOR GRAPH NEURAL NETWORKS |
| Kaidi Xu; Northeastern University |
| Sijia Liu; IBM Research |
| Pin-Yu Chen; IBM Research |
| Mengshu Sun; Northeastern University |
| Caiwen Ding; University of Connecticut |
| Bhavya Kailkhura; Lawrence Livermore National Laboratory |
| Xue Lin; Northeastern University |
| SS-L3.5: DEEP GEOMETRIC KNOWLEDGE DISTILLATION WITH GRAPHS |
| Carlos Lassance; IMT Atlantique |
| Myriam Bontonou; IMT Atlantique |
| Ghouthi Boukli Hacene; IMT Atlantique |
| Vincent Gripon; IMT Atlantique |
| Jian Tang; HEC Montreal/Mila |
| Antonio Ortega; University of Southern California |
| SS-L3.6: ON THE CHOICE OF GRAPH NEURAL NETWORK ARCHITECTURES |
| Clément Vignac; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Guillermo Ortiz-Jiménez; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Pascal Frossard; Ecole Polytechnique Fédérale de Lausanne (EPFL) |