no code implementations • 19 Jan 2022 • Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Then to remove the bias in GNN estimation, we propose a novel Debiased Graph Neural Networks (DGNN) with a differentiated decorrelation regularizer.
1 code implementation • 20 Nov 2021 • Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training and testing graphs, inducing the degeneration of the generalization ability of GNNs on Out-Of-Distribution (OOD) settings.
1 code implementation • 29 Jun 2020 • Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Most of existing clustering algorithms are proposed without considering the selection bias in data.
3 code implementations • WWW 2019 2019 • Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, P. Yu, Yanfang Ye
With the learned importance from both node-level and semantic-level attention, the importance of node and meta-path can be fully considered.
Ranked #1 on Heterogeneous Node Classification on DBLP (PACT) 14k
Social and Information Networks
no code implementations • 14 Apr 2014 • Yuxiao Dong, Jie Tang, Nitesh Chawla, Tiancheng Lou, Yang Yang, Bai Wang
Our model can predict social status of individuals with 93% accuracy.