647 citations · 1.1k across the 29 of their papers we have counts for
5 papers · 1 filter
Multi-Channel Graph Neural Network for Entity Alignment
Yixin Cao, Zhiyuan Liu, Chengjiang Li +2
Entity alignment typically suffers from the issues of structural heterogeneity and limited seed alignments. In this paper, we propose a novel Multi-channel Graph Neural Network mod…
Low-Resource Name Tagging Learned with Weakly Labeled Data
Yixin Cao, Zikun Hu, Tat-Seng Chua +2
Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotatio…
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Yunshan Ma, Xun Yang, Lizi Liao +2
Fashion knowledge helps people to dress properly and addresses not only physiological needs of users, but also the demands of social activities and conventions. It usually involves…
Improving Neural Relation Extraction with Implicit Mutual Relations
Jun Kuang, Yixin Cao, Jianbing Zheng +3
Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing metho…
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
Yixin Cao, Xiang Wang, Xiangnan He +2
Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a…