1 code implementation • 16 May 2023 • Xinyu Fu, Irwin King
In federated heterogeneous graph learning, clients may have private graph schemas.
1 code implementation • 23 Nov 2022 • Xinyu Fu, Irwin King
Heterogeneous graph neural networks (HGNNs) were proposed for representation learning on structural data with multiple types of nodes and edges.
no code implementations • 16 Nov 2020 • Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu
Internet hospital is a rising business thanks to recent advances in mobile web technology and high demand of health care services.
2 code implementations • 5 Feb 2020 • Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King
A large number of real-world graphs or networks are inherently heterogeneous, involving a diversity of node types and relation types.
Ranked #1 on Node Clustering on IMDb
1 code implementation • 4 Jun 2017 • Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See
We observe that MGU achieves the optimal runtime and comparable performance against GRU and LSTM.
no code implementations • 30 Apr 2016 • Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Lanyun Zhang
Novelty detection in news events has long been a difficult problem.