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Debiased Graph Neural Networks with Agnostic Label Selection Bias
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
19 January 2022
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
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Papers citing
"Debiased Graph Neural Networks with Agnostic Label Selection Bias"
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Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Qingyun Sun
Jiayi Luo
Haonan Yuan
Xingcheng Fu
Hao Peng
Jianxin Li
Philip S. Yu
218
0
0
04 Nov 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Yudan Song
Yuecen Wei
Yuhang Lu
Qingyun Sun
Minglai Shao
Li-e Wang
Chunming Hu
Xianxian Li
Xingcheng Fu
222
2
0
09 Jul 2025
Causal invariant geographic network representations with feature and structural distribution shifts
Future generations computer systems (FGCS), 2025
Yuhan Wang
Silu He
Qinyao Luo
Hongyuan Yuan
Ling Zhao
Jiawei Zhu
Haifeng Li
OOD
335
10
0
25 Mar 2025
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
Yao Yang
Wei Liu
Xiangxin Zhou
Mingqian Li
Qiang Zhang
Hongyang Chen
Xuemin Lin
273
1
0
28 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xiaoxue Han
Huzefa Rangwala
Yue Ning
BDL
OOD
CML
207
1
0
27 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
340
41
0
16 Sep 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Weihuang Zheng
Tianyu Wang
Jiaxing Li
Jiayun Wu
Peng Cui
Youyong Kong
OOD
232
3
0
03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
Haoran Yang
Xiaobing Pei
Kai Yuan
329
0
0
02 Jun 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia
Xiao Wang
Nian Liu
Chuan Shi
254
20
0
06 Mar 2024
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
231
15
0
30 Jan 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Web Search and Data Mining (WSDM), 2023
Yuan Gao
Xiang Wang
Xiangnan He
Zhenguang Liu
Huamin Feng
Yongdong Zhang
347
87
0
25 Jan 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yanhu Mo
Xiao Wang
Shaohua Fan
Chuan Shi
298
25
0
23 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
530
10
0
19 Dec 2023
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph
Information Processing & Management (IPM), 2023
Tianqianjin Lin
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Weikang Yuan
Xurui Li
Changlong Sun
Cui Huang
Xiaozhong Liu
263
11
0
10 Dec 2023
Causality and Independence Enhancement for Biased Node Classification
Guoxin Chen
Yongqing Wang
Fangda Guo
Qinglang Guo
Jiangli Shao
Huawei Shen
Xueqi Cheng
CML
AI4CE
OOD
290
18
0
14 Oct 2023
Data-centric Graph Learning: A Survey
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
350
32
0
08 Oct 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Ruitian Ding
Jielong Yang
Feng Ji
Xionghu Zhong
Linbo Xie
317
2
0
18 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Bin Lu
Xiaoying Gan
Ze Zhao
Shiyu Liang
Luoyi Fu
Xinbing Wang
Cheng Zhou
276
18
0
16 Aug 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
Qiang Liu
Zhaocheng Liu
Zhen Zhu
Shu Wu
Liang Wang
OOD
OODD
287
4
0
12 Apr 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
The Web Conference (WWW), 2023
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
421
17
0
02 Feb 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shaohua Fan
Shuyang Zhang
Xiao Wang
Chuan Shi
CML
406
8
0
30 Nov 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Neural Information Processing Systems (NeurIPS), 2022
Shaohua Fan
Xiao Wang
Yanhu Mo
Chuan Shi
Jian Tang
CML
OOD
AI4CE
367
139
0
28 Sep 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
390
155
0
16 May 2022
Out-Of-Distribution Generalization on Graphs: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
510
126
0
16 Feb 2022
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Leilei Gan
OOD
189
10
0
08 Oct 2021
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