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Robust Stochastic Graph Generator for Counterfactual Explanations
v1v2 (latest)

Robust Stochastic Graph Generator for Counterfactual Explanations

18 December 2023
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
    CML
ArXiv (abs)PDFHTML

Papers citing "Robust Stochastic Graph Generator for Counterfactual Explanations"

11 / 11 papers shown
Title
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
66
2
0
04 Aug 2023
VCNet: A self-explaining model for realistic counterfactual generation
VCNet: A self-explaining model for realistic counterfactual generation
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
BDLOODCML
50
25
0
21 Dec 2022
CLEAR: Generative Counterfactual Explanations on Graphs
CLEAR: Generative Counterfactual Explanations on Graphs
Jing Ma
Ruocheng Guo
Saumitra Mishra
Aidong Zhang
Jundong Li
CMLOOD
71
54
0
16 Oct 2022
GRETEL: A unified framework for Graph Counterfactual Explanation
  Evaluation
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
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
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
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
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
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
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
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
153
3,592
0
21 Nov 2016
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