Global Counterfactual Explainer for Graph Neural Networks

21 October 2022

Papers citing "Global Counterfactual Explainer for Graph Neural Networks"

25 / 25 papers shown

Title
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 34 0 0 11 May 2025
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks Emré Anakok Pierre Barbillon Colin Fontaine Elisa Thébault 47 0 0 19 Mar 2025
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction Shengyao Lu Jiuding Yang Baochun Li Di Niu 48 0 0 12 Mar 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 68 2 0 14 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 76 0 0 15 Jan 2025
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 69 1 0 29 Nov 2024
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach Yinhan He Wendy Zheng Yaochen Zhu Jing Ma Saumitra Mishra Natraj Raman Ninghao Liu Jundong Li 18 0 0 25 Oct 2024
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability Ioannis Emiris Dimitris Fotakis G. Giannopoulos Dimitrios Gunopulos Loukas Kavouras ... D. Rontogiannis Dimitris Sacharidis Nikolaos Theologitis Dimitrios Tomaras Konstantinos Tsopelas CML FAtt 16 1 0 29 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 21 2 0 30 Apr 2024
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation Zhaoyang Chu Yao Wan Qian Li Yang Wu Hongyu Zhang Yulei Sui Guandong Xu Hai Jin AAML 31 1 0 24 Apr 2024
Fast Inference of Removal-Based Node Influence Weikai Li Zhiping Xiao Xiao Luo Yizhou Sun AAML 23 1 0 13 Mar 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks Chirag Chhablani Sarthak Jain Akshay Channesh Ian A. Kash Sourav Medya 22 5 0 08 Feb 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 27 9 0 04 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 24 2 0 19 Dec 2023
Generating Explanations to Understand and Repair Embedding-based Entity Alignment Xiaobin Tian Zequn Sun Wei Hu 11 5 0 08 Dec 2023
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression Sumit Dalal Deepa Tilwani Kaushik Roy Manas Gaur Sarika Jain V. Shalin Amit P. Sheth 13 6 0 23 Nov 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 18 13 0 03 Oct 2023
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes Bardh Prenkaj Mario Villaizán-Vallelado Tobias Leemann Gjergji Kasneci 18 2 0 04 Aug 2023
Counterfactual Graph Transformer for Traffic Flow Prediction Yingbin Yang Kai Du Xingyuan Dai Jianwu Fang AI4TS 22 1 0 01 Aug 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 28 23 0 02 Jun 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 38 18 0 03 Apr 2023
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 27 30 0 21 Oct 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network Ravinder Bhattoo Sayan Ranu N. M. A. Krishnan AI4CE 11 17 0 23 Sep 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 14 123 0 18 Apr 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 107 142 0 05 Feb 2021