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

MLSP-17: Graph Neural Networks

Session Type: Poster
Time: Wednesday, 9 June, 14:00 - 14:45
Location: Gather.Town
 
MLSP-17.1: NON-RECURSIVE GRAPH CONVOLUTIONAL NETWORKS
         Hao Chen; Beihang Univesity
         Zengde Deng; Cainiao Network
         Yue Xu; Alibaba Group
         Zhoujun Li; Beihang University
 
MLSP-17.2: EGO-BASED ENTROPY MEASURES FOR STRUCTURAL REPRESENTATIONS ON GRAPHS
         George Dasoulas; École Polytechnique
         Giannis Nikolentzos; École Polytechnique
         Kevin Scaman; Noah's Ark Lab, Huawei
         Aladin Virmaux; Noah's Ark Lab, Huawei
         Michalis Vazirgiannis; École Polytechnique
 
MLSP-17.3: SYMMETRIC SUB-GRAPH SPATIO-TEMPORAL GRAPH CONVOLUTION AND ITS APPLICATION IN COMPLEX ACTIVITY RECOGNITION
         Pratyusha Das; University of Southern California
         Antonio Ortega; University of Southern California
 
MLSP-17.4: PROGRESSIVE SPATIO-TEMPORAL GRAPH CONVOLUTIONAL NETWORK FOR SKELETON-BASED HUMAN ACTION RECOGNITION
         Negar Heidari; Aarhus University
         Alexandros Iosifidis; Aarhus University
 
MLSP-17.5: SPARSE-CODED DYNAMIC MODE DECOMPOSITION ON GRAPH FOR PREDICTION OF RIVER WATER LEVEL DISTRIBUTION
         Yusuke Arai; Niigata University
         Shogo Muramatsu; Niigata University
         Hiroyasu Yasuda; Niigata University
         Kiyoshi Hayasaka; Niigata University
         Yu Otake; Tohoku University
 
MLSP-17.6: GRAPH FREQUENCY ANALYSIS OF COVID-19 INCIDENCE TO IDENTIFY COUNTY-LEVEL CONTAGION PATTERNS IN THE UNITED STATES
         Yang Li; University of Rochester
         Gonzalo Mateos; University of Rochester