most citedImproving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

95 citations · 141 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 3 cited

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Shuo Liang, Wei Wei, Xian-Ling Mao +3

Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term…

cs.LG2022

HCL: Improving Graph Representation with Hierarchical Contrastive Learning

Jun Wang, Weixun Li, Changyu Hou +6

Contrastive learning has emerged as a powerful tool for graph representation learning. However, most contrastive learning methods learn features of graphs with fixed coarse-grained…

cs.CL2022

HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold

Ruihan Zhang, Wei Wei, Xian-Ling Mao +2

Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations. A…

cs.IR2022★ 43 cited

Multi-level Contrastive Learning Framework for Sequential Recommendation

Ziyang Wang, Huoyu Liu, Wei Wei +5

Sequential recommendation (SR) aims to predict the subsequent behaviors of users by understanding their successive historical behaviors. Recently, some methods for SR are devoted t…

cs.IR2022★ 95 cited

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Ding Zou, Wei Wei, Ziyang Wang +4

Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop…