no code implementations • 11 Apr 2023 • Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
Graph Neural Networks (GNNs) have been widely applied on a variety of real-world applications, such as social recommendation.
no code implementations • 30 Mar 2023 • Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
In addition, we propose a generic context sampling strategy for graph generative models, which is proven to be capable of fairly capturing the contextual information of each group with a high probability.
1 code implementation • 5 Jun 2019 • Jun Wu, Jingrui He, Jiejun Xu
Graph data widely exist in many high-impact applications.
Ranked #1 on Node Classification on BlogCatalog
no code implementations • 27 Feb 2019 • Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Network alignment, in general, seeks to discover the hidden underlying correspondence between nodes across two (or more) networks when given their network structure.