IEEE

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

Recently, Graph Convolution Network (GCN) and Temporal Convolution Network (TCN) are introduced into traffic prediction and achieve state-of-the-art performance due to their good ability for modeling ...
IEEE

Heterogeneous Spatiotemporal Graph Convolution Network for Multi-Modal Wind-PV Power Collaborative Prediction

Abstract: Accurate and generalized collaborative prediction of multi-cluster renewable energy power generation is both an inevitable trend and urgent demand as the growth of multi-region ...
GitHub

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

@inproceedings{xu2021paconv, title={PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds}, author={Xu, Mutian and Ding, Runyu and Zhao, Hengshuang and Qi, Xiaojuan}, ...