MLSP-17: Graph Neural Networks |
Session Type: Poster |
Time: Wednesday, 9 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Pengtao Xie, University of California, San Diego |
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 |