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On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
v1v2v3 (latest)

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Neural Networks (NN), 2022
31 December 2024
Ruichu Cai
Yuxuan Zhu
Xuexin Chen
Yuan Fang
Ruibing Jin
Jie Qiao
Zijian Li
ArXiv (abs)PDFHTML

Papers citing "On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach"

10 / 10 papers shown
Title
SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contracts
SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contracts
Xng Ai
Shudan Lin
Zecheng Li
Kai Zhou
Bixin Li
Bin Xiao
AAML
116
0
0
06 Sep 2025
Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning
Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning
Sishun Liu
Ke Deng
Xiuzhen Zhang
Yan Wang
AI4TSLRM
73
0
0
16 Aug 2025
Unifying Invariant and Variant Features for Graph Out-of-Distribution
  via Probability of Necessity and Sufficiency
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
265
0
0
21 Jul 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via
  Probability of Necessity and Sufficiency
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
155
2
0
14 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage
  Perturbation Test for Causal Explanation
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen
Ruichu Cai
Zhengting Huang
Yuxuan Zhu
Julien Horwood
Zhifeng Hao
Zijian Li
Jose Miguel Hernandez-Lobato
AAML
326
4
0
13 Feb 2024
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data
  Landscapes
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes
Bardh Prenkaj
Mario Villaizán-Vallelado
Tobias Leemann
Gjergji Kasneci
160
2
0
04 Aug 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
353
24
0
03 Apr 2023
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesACM Computing Surveys (ACM CSUR), 2022
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
239
41
0
21 Oct 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation
  Metrics
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li
Jianlong Zhou
Sunny Verma
Fang Chen
XAI
172
47
0
26 Jul 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.8K
19,183
0
16 Feb 2016
1