5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 5 cited
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…
cs.LG2021★ 1 cited
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen, Ziao Wang, Xinni Zhang +2
Graph representation learning has long been an important yet challenging task for various real-world applications. However, their downstream tasks are mainly performed in the setti…
cs.LG2019★ 3 cited
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better
Yaping Zheng, Shiyi Chen, Xinni Zhang +3
Community detection has long been an important yet challenging task to analyze complex networks with a focus on detecting topological structures of graph data. Essentially, real-wo…