2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
SPTM-11: Graphs Neural Networks |
| Session Type: Poster |
| Time: Wednesday, 9 June, 16:30 - 17:15 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Masahiro Yukawa, Keio University |
| SPTM-11.1: VARIANCE-CONSTRAINED LEARNING FOR STOCHASTIC GRAPH NEURAL NETWORKS |
| Zhan Gao; University of Pennsylvania |
| Elvin Isufi; Delft University of Technology |
| Alejandro Ribeiro; University of Pennsylvania |
| SPTM-11.2: GRAPH NEURAL NETWORK FOR LARGE-SCALE NETWORK LOCALIZATION |
| Wenzhong Yan; Chinese University of Hong Kong, Shenzhen |
| Di Jin; Technische Universität Darmstadt |
| Zhidi Lin; Chinese University of Hong Kong, Shenzhen |
| Feng Yin; Chinese University of Hong Kong, Shenzhen |
| SPTM-11.3: GRAPHON AND GRAPH NEURAL NETWORK STABILITY |
| Luana Ruiz; University of Pennsylvania |
| Zhiyang Wang; University of Pennsylvania |
| Alejandro Ribeiro; University of Pennsylvania |
| SPTM-11.4: GRAPH NEURAL NETWORKS FOR DECENTRALIZED CONTROLLERS |
| Fernando Gama; University of California, Berkeley |
| Ekaterina Tolstaya; University of Pennsylvania |
| Alejandro Ribeiro; University of Pennsylvania |
| SPTM-11.5: NONLINEAR STATE-SPACE GENERALIZATIONS OF GRAPH CONVOLUTIONAL NEURAL NETWORKS |
| Luana Ruiz; University of Pennsylvania |
| Fernando Gama; University of California, Berkeley |
| Alejandro Ribeiro; University of Pennsylvania |
| Elvin Isufi; Delft University of Technology |
| SPTM-11.6: WIDE AND DEEP GRAPH NEURAL NETWORKS WITH DISTRIBUTED ONLINE LEARNING |
| Zhan Gao; University of Pennsylvania |
| Fernando Gama; University of California, Berkeley |
| Alejandro Ribeiro; University of Pennsylvania |