15 citations · 23 across the 5 of their papers we have counts for
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cs.IR2022★ 4 cited
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation
Huixuan Chi, Hao Xu, Hao Fu +5
Modeling the evolution of user preference is essential in recommender systems. Recently, dynamic graph-based methods have been studied and achieved SOTA for recommendation, majorit…
cs.LG2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks
Jing Liu, Tongya Zheng, Qinfen Hao
Researchers have recently proposed plenty of heterogeneous graph neural networks (HGNNs) due to the ubiquity of heterogeneous graphs in both academic and industrial areas. Instead…