13 citations · 15 across the 7 of their papers we have counts for
7 papers
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…
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…
Cascading: Association Augmented Sequential Recommendation
Xu Chen, Kenan Cui, Ya Zhang +1
Recently, recommendation according to sequential user behaviors has shown promising results in many application scenarios. Generally speaking, real-world sequential user behaviors…
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
Maosen Li, Siheng Chen, Xu Chen +3
3D skeleton-based action recognition and motion prediction are two essential problems of human activity understanding. In many previous works: 1) they studied two tasks separately,…
Node Attribute Generation on Graphs
Xu Chen, Siheng Chen, Huangjie Zheng +4
Graph structured data provide two-fold information: graph structures and node attributes. Numerous graph-based algorithms rely on both information to achieve success in supervised…