Robust Stochastic Graph Generator for Counterfactual Explanations

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Robust Stochastic Graph Generator for Counterfactual Explanations

18 December 2023

Mario Alfonso Prado-Romero

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Papers citing "Robust Stochastic Graph Generator for Counterfactual Explanations"

11 / 11 papers shown

Title
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes Bardh Prenkaj Mario Villaizán-Vallelado Tobias Leemann Gjergji Kasneci 66 2 0 04 Aug 2023
VCNet: A self-explaining model for realistic counterfactual generation Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier BDL OOD CML 50 25 0 21 Dec 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 71 54 0 16 Oct 2022
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation Mario Alfonso Prado-Romero Giovanni Stilo 32 16 0 07 Jun 2022
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning Juntao Tan Shijie Geng Zuohui Fu Yingqiang Ge Shuyuan Xu Yunqi Li Yongfeng Zhang 79 112 0 17 Feb 2022
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks Kexin Huang C. Xiao Lucas Glass Marinka Zitnik Jimeng Sun GNN 59 122 0 30 Apr 2020
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal Ling Zhang Chengjiang Long Xiaolong Zhang Chunxia Xiao GAN 115 98 0 20 Nov 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 150 1,329 0 10 Mar 2019
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 74 1,561 0 01 Nov 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 143 3,970 0 06 Feb 2018
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 153 3,592 0 21 Nov 2016

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