73 citations · 295 across the 29 of their papers we have counts for
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cs.IR2024★ 35 cited
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
Yuling Wang, Xiao Wang, Xiangzhou Huang +5
Graph neural network (GNN) based recommender systems have become one of the mainstream trends due to the powerful learning ability from user behavior data. Understanding the user i…
cs.IR2019
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
Chuan Shi, Xiaotian Han, Li Song +4
Recently, recommender systems play a pivotal role in alleviating the problem of information overload. Latent factor models have been widely used for recommendation. Most existing l…