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2105.08621
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Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
18 May 2021
Thorben Funke
Megha Khosla
Mandeep Rathee
Avishek Anand
FAtt
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Papers citing
"Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks"
30 / 30 papers shown
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Explainable Graph Neural Networks via Structural Externalities
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Dong Hao
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175
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19 Jul 2025
Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
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Tomohiro Shiraishi
Teruyuki Katsuoka
Ichiro Takeuchi
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22 May 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
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14 Feb 2025
Disentangled and Self-Explainable Node Representation Learning
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Andre' Panisson
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421
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28 Oct 2024
Graph Neural Network Causal Explanation via Neural Causal Models
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Binghui Wang
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290
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On the Feasibility of Fidelity
−
^-
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Won-Yong Shin
218
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17 Jun 2024
Multi-graph Graph Matching for Coronary Artery Semantic Labeling
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Zhihui Xu
Pukar Baral
Michele L. Esposito
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304
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24 Feb 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
The Web Conference (WWW), 2024
Selahattin Akkas
Ariful Azad
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390
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09 Jan 2024
DINE: Dimensional Interpretability of Node Embeddings
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Simone Piaggesi
Megha Khosla
Andre' Panisson
Avishek Anand
268
9
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02 Oct 2023
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
International Conference on Advanced Robotics (ICAR), 2023
Efimia Panagiotaki
D. Martini
Lars Kunze
209
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08 Aug 2023
Counterfactual Explanations for Graph Classification Through the Lenses of Density
Carlo Abrate
Giulia Preti
Francesco Bonchi
210
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27 Jul 2023
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network
Chen Zhao
Zhihui Xu
Guang-Uei Hung
Weihua Zhou
127
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21 May 2023
On Pitfalls of
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Keumgang Cha
Junghoon Seo
402
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26 Apr 2023
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
Pattern Recognition (Pattern Recogn.), 2023
Chen Zhao
Zhihui Xu
Jingfeng Jiang
Michele Esposito
Drew Pienta
Guang-Uei Hung
Weihua Zhou
162
14
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11 Jan 2023
On the Limit of Explaining Black-box Temporal Graph Neural Networks
Minh Nhat Vu
My T. Thai
205
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02 Dec 2022
MEGAN: Multi-Explanation Graph Attention Network
Jonas Teufel
Luca Torresi
Patrick Reiser
Pascal Friederich
232
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L2XGNN: Learning to Explain Graph Neural Networks
Machine-mediated learning (ML), 2022
G. Serra
Mathias Niepert
322
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EMaP: Explainable AI with Manifold-based Perturbations
Minh Nhat Vu
Huy Mai
My T. Thai
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Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Megha Khosla
352
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22 Jul 2022
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network
IEEE Access (IEEE Access), 2022
Nikolaos Gkalelis
Dimitrios Daskalakis
Vasileios Mezaris
241
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20 Jul 2022
Private Graph Extraction via Feature Explanations
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Iyiola E. Olatunji
Mandeep Rathee
Thorben Funke
Megha Khosla
AAML
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289
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BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
Mandeep Rathee
Thorben Funke
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Megha Khosla
212
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28 Jun 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
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Guangyu Sun
Peng Cui
Zibin Zheng
Yanfeng Guo
P. Zhao
OOD
375
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20 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Zijian Zhang
Vinay Setty
Avishek Anand
226
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03 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Machine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
405
219
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18 Apr 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Neural Information Processing Systems (NeurIPS), 2022
Shichang Zhang
Yozen Liu
Neil Shah
Luke Huan
FAtt
440
66
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28 Jan 2022
Learnt Sparsification for Interpretable Graph Neural Networks
Mandeep Rathee
Zijian Zhang
Thorben Funke
Megha Khosla
Avishek Anand
218
4
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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
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