515 citations · 1.2k across the 19 of their papers we have counts for
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3 papers · 1 filter
cs.LG2019★ 2 cited
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao, Shuiwang Ji
Attention operators have been widely applied in various fields, including computer vision, natural language processing, and network embedding learning. Attention operators on graph…
cs.LG2019★ 28 cited
Graph U-Nets
Hongyang Gao, Shuiwang Ji
We consider the problem of representation learning for graph data. Convolutional neural networks can naturally operate on images, but have significant challenges in dealing with gr…
cs.AI2019★ 3 cited
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
Hongyang Gao, Yongjun Chen, Shuiwang Ji
With the development of graph convolutional networks (GCN), deep learning methods have started to be used on graph data. In additional to convolutional layers, pooling layers are a…