24 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 2 cited
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Yunfei Chu, Xiaofu Chang, Kunyang Jia +2
Click-through rate prediction plays an important role in the field of recommender system and many other applications. Existing methods mainly extract user interests from user histo…
cs.LG2021★ 24 cited
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
Lu Wang, Xiaofu Chang, Shuang Li +7
Dynamic graph modeling has recently attracted much attention due to its extensive applications in many real-world scenarios, such as recommendation systems, financial transactions,…
cs.LG2021
Inductive Granger Causal Modeling for Multivariate Time Series
Yunfei Chu, Xiaowei Wang, Jianxin Ma +3
Granger causal modeling is an emerging topic that can uncover Granger causal relationship behind multivariate time series data. In many real-world systems, it is common to encounte…