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Graph Style Transfer for Counterfactual Explainability

23 May 2025
Bardh Prenkaj
Efstratios Zaradoukas
Gjergji Kasneci
    AAML
ArXiv (abs)PDFHTML

Papers citing "Graph Style Transfer for Counterfactual Explainability"

31 / 31 papers shown
Title
Semantically Guided Representation Learning For Action Anticipation
Semantically Guided Representation Learning For Action Anticipation
Anxhelo Diko
D. Avola
Bardh Prenkaj
Federico Fontana
Luigi Cinque
AI4TS
49
3
0
02 Jul 2024
Towards Non-Adversarial Algorithmic Recourse
Towards Non-Adversarial Algorithmic Recourse
Tobias Leemann
Martin Pawelczyk
Bardh Prenkaj
Gjergji Kasneci
AAML
67
2
0
15 Mar 2024
Robust Stochastic Graph Generator for Counterfactual Explanations
Robust Stochastic Graph Generator for Counterfactual Explanations
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
CML
47
4
0
18 Dec 2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video
  Anomaly Detection
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea
Luca Collorone
Guido DÁmely
S. DÁrrigo
Bardh Prenkaj
Fabio Galasso
VGenDiffM
59
41
0
14 Jul 2023
Are we certain it's anomalous?
Are we certain it's anomalous?
Alessandro Flaborea
Bardh Prenkaj
Bharti Munjal
Marco Aurelio Sterpa
Dario Aragona
L. Podo
Fabio Galasso
74
9
0
16 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
121
32
0
21 Oct 2022
Global Counterfactual Explainer for Graph Neural Networks
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
76
50
0
21 Oct 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
Robust Counterfactual Explanations on Graph Neural Networks
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj
Lingyang Chu
Zihui Xue
J. Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
157
99
0
08 Jul 2021
Counterfactual Graphs for Explainable Classification of Brain Networks
Counterfactual Graphs for Explainable Classification of Brain Networks
Carlo Abrate
Francesco Bonchi
CML
73
56
0
16 Jun 2021
Graph Domain Adaptation: A Generative View
Graph Domain Adaptation: A Generative View
Ruichu Cai
Fengzhu Wu
Zijian Li
Pengfei Wei
Lingling Yi
Kun Zhang
OOD
69
38
0
14 Jun 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph
  Networks
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso
D. Bacciu
69
40
0
16 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
166
146
0
05 Feb 2021
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
99
791
0
08 Sep 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
490
950
0
02 Mar 2020
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
79
65
0
26 Sep 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
Optimization of Molecules via Deep Reinforcement Learning
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou
S. Kearnes
Li Li
R. Zare
Patrick F. Riley
AI4CE
107
542
0
19 Oct 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
Style Transfer in Text: Exploration and Evaluation
Style Transfer in Text: Exploration and Evaluation
Zhenxin Fu
Xiaoye Tan
Nanyun Peng
Dongyan Zhao
Rui Yan
84
507
0
18 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
129
2,361
0
01 Nov 2017
Is writing style predictive of scientific fraud?
Is writing style predictive of scientific fraud?
Chloé Braud
Anders Søgaard
40
8
0
13 Jul 2017
Controlling Linguistic Style Aspects in Neural Language Generation
Controlling Linguistic Style Aspects in Neural Language Generation
Jessica Ficler
Yoav Goldberg
79
333
0
09 Jul 2017
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence
  Models
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Harsh Jhamtani
Varun Gangal
Eduard H. Hovy
Eric Nyberg
90
178
0
04 Jul 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
Style Transfer from Non-Parallel Text by Cross-Alignment
T. Shen
Tao Lei
Regina Barzilay
Tommi Jaakkola
126
776
0
26 May 2017
Demystifying Neural Style Transfer
Demystifying Neural Style Transfer
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
84
521
0
04 Jan 2017
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
142
207
0
21 Nov 2016
Preserving Color in Neural Artistic Style Transfer
Preserving Color in Neural Artistic Style Transfer
Leon A. Gatys
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
GAN
79
143
0
19 Jun 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
135
3,060
0
09 Jun 2015
Propagation Kernels
Propagation Kernels
Marion Neumann
Roman Garnett
Christian Bauckhage
Kristian Kersting
70
262
0
13 Oct 2014
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