5 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 5 cited
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Wendong Bi, Lun Du, Qiang Fu +3
Graph Neural Networks (GNNs) are popular machine learning methods for modeling graph data. A lot of GNNs perform well on homophily graphs while having unsatisfactory performance on…
cs.SI2022★ 3 cited
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
Chongjian Yue, Lun Du, Qiang Fu +4
With the development of temporal networks such as E-commerce networks and social networks, the issue of temporal link prediction has attracted increasing attention in recent years.…
cs.LG2019
Towards Better Understanding of Disentangled Representations via Mutual Information
Xiaojiang Yang, Wendong Bi, Yitong Sun +2
Most existing works on disentangled representation learning are solely built upon an marginal independence assumption: all factors in disentangled representations should be statist…