16 citations · 38 across the 12 of their papers we have counts for
4 papers · 1 filter
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Linhao Luo, Yixiang Fang, Moli Lu +3
Heterogeneous graphs, which contain nodes and edges of multiple types, are prevalent in various domains, including bibliographic networks, social media, and knowledge graphs. As a…
DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
Liqi Yang, Linhan Luo, Lifeng Xin +2
Session-based recommendations have been widely adopted for various online video and E-commerce Websites. Most existing approaches are intuitively proposed to discover underlying in…
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Linhao Luo, Liqi Yang, Ju Xin +6
Recently, the reciprocal recommendation, especially for online dating applications, has attracted more and more research attention. Different from conventional recommendation probl…
Wasserstein Autoencoders for Collaborative Filtering
Jingbin Zhong, Xiaofeng Zhang
The recommender systems have long been investigated in the literature. Recently, users' implicit feedback like `click' or `browse' are considered to be able to enhance the recommen…