126 citations · 169 across the 18 of their papers we have counts for
6 papers · 1 filter
Learning on Attribute-Missing Graphs
Xu Chen, Siheng Chen, Jiangchao Yao +3
Graphs with complete node attributes have been widely explored recently. While in practice, there is a graph where attributes of only partial nodes could be available and those of…
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Xu Chen, Ya Zhang, Ivor Tsang +2
Cross domain recommendation (CDR) is one popular research topic in recommender systems. This paper focuses on a popular scenario for CDR where different domains share the same set…
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen, Jiangchao Yao, Maosen Li +2
Node representation learning for signed directed networks has received considerable attention in many real-world applications such as link sign prediction, node classification and…
Learning Node Representations against Perturbations
Xu Chen, Yuangang Pan, Ivor Tsang +1
Recent graph neural networks (GNN) has achieved remarkable performance in node representation learning. One key factor of GNN's success is the \emph{smoothness} property on node re…
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
Jingchao Su, Xu Chen, Ya Zhang +3
Relational learning aims to make relation inference by exploiting the correlations among different types of entities. Exploring relational learning on multiple bipartite graphs has…
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
Chenyang Li, Xu Chen, Ya Zhang +3
Knowledge graphs (KGs) composed of users, objects, and tags are widely used in web applications ranging from E-commerce, social media sites to news portals. This paper concentrates…