2 papers
cs.LG2025
Network Embedding with Completely-imbalanced Labels
Zheng Wang, Xiaojun Ye, Chaokun Wang +2
Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research. Semi-supervised network embedding takes advantage…
cs.CL2025
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Shuliang Liu, Xuming Hu, Chenwei Zhang +3
Unsupervised relation extraction aims to extract the relationship between entities from natural language sentences without prior information on relational scope or distribution. Ex…