6 citations · 8 across the 5 of their papers we have counts for
5 papers
BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework
Luyao He, Zhongbao Zhang, Sen Su +1
Relation triple extraction (RTE) is an essential task in information extraction and knowledge graph construction. Despite recent advancements, existing methods still exhibit certai…
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds
Junda Ye, Zhongbao Zhang, Li Sun +3
Sequential interaction networks (SIN) have been commonly adopted in many applications such as recommendation systems, search engines and social networks to describe the mutual infl…
A Self-supervised Mixed-curvature Graph Neural Network
Li Sun, Zhongbao Zhang, Junda Ye +4
Graph representation learning received increasing attentions in recent years. Most of existing methods ignore the complexity of the graph structures and restrict graphs in a single…
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
Li Sun, Zhongbao Zhang, Jiawei Zhang +4
Learning representations for graphs plays a critical role in a wide spectrum of downstream applications. In this paper, we summarize the limitations of the prior works in three fol…
DNA: Dynamic Social Network Alignment
Li Sun, Zhongbao Zhang, Pengxin Ji +3
Social network alignment, aligning different social networks on their common users, is receiving dramatic attention from both academic and industry. All existing studies consider t…