3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
Daheng Wang, Zhihan Zhang, Yihong Ma +4
Most graph neural network models learn embeddings of nodes in static attributed graphs for predictive analysis. Recent attempts have been made to learn temporal proximity of the no…
cs.LG2020★ 3 cited
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
Daheng Wang, Meng Jiang, Munira Syed +4
User behavior modeling is important for industrial applications such as demographic attribute prediction, content recommendation, and target advertising. Existing methods represent…