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Deconfounding to Explanation Evaluation in Graph Neural Networks
v1v2v3 (latest)

Deconfounding to Explanation Evaluation in Graph Neural Networks

21 January 2022
Yingmin Wu
Xiang Wang
An Zhang
Helen Zhou
Fuli Feng
Xiangnan He
Tat-Seng Chua
    FAttCML
ArXiv (abs)PDFHTML

Papers citing "Deconfounding to Explanation Evaluation in Graph Neural Networks"

9 / 9 papers shown
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary EnvironmentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Qingyun Sun
Jiayi Luo
Haonan Yuan
Xingcheng Fu
Hao Peng
Jianxin Li
Philip S. Yu
252
0
0
04 Nov 2025
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node
  Classification
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xiaoxue Han
Huzefa Rangwala
Yue Ning
BDLOODCML
223
1
0
27 Oct 2024
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
Hsiao-Ying Lu
Yiran Li
Ujwal Pratap Krishna Kaluvakolanu Thyagarajan
K. Ma
445
1
0
06 Jun 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CMLAI4CE
561
10
0
19 Dec 2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge TransferInternational Conference on Information and Knowledge Management (CIKM), 2023
Wendong Bi
Xueqi Cheng
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
250
15
0
18 Aug 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph
  Neural Network
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural NetworkThe Web Conference (WWW), 2023
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
445
19
0
02 Feb 2023
Discovering the Representation Bottleneck of Graph Neural Networks
Discovering the Representation Bottleneck of Graph Neural Networks
Fang Wu
Siyuan Li
Stan Z. Li
351
3
0
15 May 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODCML
595
131
0
16 Feb 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.5K
1,130
0
02 Mar 2020
1
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