16 citations · 38 across the 12 of their papers we have counts for
4 papers · 1 filter
VDPC: Variational Density Peak Clustering Algorithm
Yizhang Wang, Di Wang, You Zhou +2
The widely applied density peak clustering (DPC) algorithm makes an intuitive cluster formation assumption that cluster centers are often surrounded by data points with lower local…
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Linhao Luo, Yixiang Fang, Xin Cao +2
Community detection, aiming to group the graph nodes into clusters with dense inner-connection, is a fundamental graph mining task. Recently, it has been studied on the heterogeneo…
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…
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…