Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
IEEE

Dynamic Graph Learning with Tensorized Lightweight Graph Convolutional Network

Abstract: A dynamic graph (DG) is frequently encountered in numerous real-world scenarios. Consequently, A dynamic graph convolutional network (DGCN) has been successfully applied to perform precise ...
GitHub

dynamic-graph-convolutional-neural-networks

Research code for semantic segmentation of 3D plant point clouds using geometric deep learning, developed in collaboration with Oak Ridge National Laboratory.
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
Frontiers

Dynamic climate graph network and adaptive climate action strategy for climate risk assessment and low-carbon policy responses

1 School of Resources and Environment, Xizang Agriculture and Animal Husbandry University, Nyingchi, Xizang, China 2 Department of Mechanical Engineering, Taiyuan Institute of Technology, TaiYuan, ...