16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 16 cited
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Jianxin Li, Hao Peng, Yuwei Cao +4
Graph neural networks (GNNs) have been widely used in deep learning on graphs. They can learn effective node representations that achieve superior performances in graph analysis ta…
cs.LG2019
Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling
Hekai Zhang, Jibing Gong, Zhiyong Teng +4
User-based attribute information, such as age and gender, is usually considered as user privacy information. It is difficult for enterprises to obtain user-based privacy attribute…