no code implementations • 9 Oct 2020 • Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
Graph neural networks have become an important tool for modeling structured data.
1 code implementation • 19 Dec 2019 • Huiting Hong, Hantao Guo, Yu-Cheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations.
1 code implementation • 15 Aug 2019 • Huiting Hong, Xin Li, Yuangang Pan, Ivor Tsang
Network alignment is a critical task to a wide variety of fields.
no code implementations • 18 May 2018 • Huiting Hong, Xin Li, Mingzhong Wang
Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications.