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

SPTM-11: Graphs Neural Networks

Session Type: Poster
Time: Wednesday, 9 June, 16:30 - 17:15
Location: Gather.Town
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