1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Tiehua Zhang, Yuze Liu, Yao Yao +4
Heterogeneous graph neural network has unleashed great potential on graph representation learning and shown superior performance on downstream tasks such as node classification and…
cs.LG2022★ 1 cited
GPS: A Policy-driven Sampling Approach for Graph Representation Learning
Tiehua Zhang, Yuze Liu, Xin Chen +3
Graph representation learning has drawn increasing attention in recent years, especially for learning the low dimensional embedding at both node and graph level for classification…
cs.LG2020
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Yingheng Wang, Yaosen Min, Xin Chen +1
Drug-drug interaction(DDI) prediction is an important task in the medical health machine learning community. This study presents a new method, multi-view graph contrastive represen…