no code implementations • 4 Oct 2022 • Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Biao Wang, Ting Yu
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model.
Ranked #1 on Link Property Prediction on ogbl-ddi
1 code implementation • 6 Apr 2022 • Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin
In this paper, we first point out that in a GCN training problem with a given training set, the aggregation stages of its backward propagation phase (called as backward aggregations in this paper) can be converted to partially-active graph processing procedures, which conduct computation on only partial vertices of the input graph.
no code implementations • 26 Feb 2019 • Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
Graph is a well known data structure to represent the associated relationships in a variety of applications, e. g., data science and machine learning.
Distributed, Parallel, and Cluster Computing