519 citations · 1k across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 28 cited
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu, Xiao Wang, Chuan Shi +2
Graph Neural Networks (GNNs) have received considerable attention on graph-structured data learning for a wide variety of tasks. The well-designed propagation mechanism which has b…
cs.LG2020★ 492 cited
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
Graph Convolutional Networks (GCNs) have gained great popularity in tackling various analytics tasks on graph and network data. However, some recent studies raise concerns about wh…
cs.LG2020★ 519 cited
Structural Deep Clustering Network
Deyu Bo, Xiao Wang, Chuan Shi +3
Clustering is a fundamental task in data analysis. Recently, deep clustering, which derives inspiration primarily from deep learning approaches, achieves state-of-the-art performan…