2 citations · 2 across the 2 of their papers we have counts for
4 papers
Message Passing in Graph Convolution Networks via Adaptive Filter Banks
Xing Gao, Wenrui Dai, Chenglin Li +3
Graph convolution networks, like message passing graph convolution networks (MPGCNs), have been a powerful tool in representation learning of networked data. However, when data is…
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Xing Gao, Wenrui Dai, Chenglin Li +2
Graph neural networks have attracted wide attentions to enable representation learning of graph data in recent works. In complement to graph convolution operators, graph pooling is…
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Mingxing Xu, Wenrui Dai, Chunmiao Liu +4
Traffic forecasting has emerged as a core component of intelligent transportation systems. However, timely accurate traffic forecasting, especially long-term forecasting, still rem…
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao, Hongkai Xiong, Pascal Frossard
With the advent of data science, the analysis of network or graph data has become a very timely research problem. A variety of recent works have been proposed to generalize neural…