GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers
through In-depth Benchmarking

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GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

3 October 2023

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Papers citing "GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking"

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Title
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels Rishi Raj Sahoo Rucha Bhalchandra Joshi Subhankar Mishra AAML 24 0 0 02 Jun 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 136 0 0 11 May 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 143 1 0 15 Jan 2025
Faithful Interpretation for Graph Neural Networks Lijie Hu Tianhao Huang Lu Yu Wanyu Lin Tianhang Zheng Di Wang 76 3 0 09 Oct 2024
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning Danqing Wang Antonis Antoniades Kha-Dinh Luong Edwin Zhang Mert Kosan Jiachen Li Ambuj Singh William Yang Wang Lei Li AI4CE 79 0 0 19 Jun 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks Chirag Chhablani Sarthak Jain Akshay Channesh Ian A. Kash Sourav Medya 89 7 0 08 Feb 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks Simi Job Xiaohui Tao Taotao Cai Lin Li Haoran Xie Jianming Yong CML 77 1 0 27 Jan 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng Farhad Shirani Tianchun Wang Wei Cheng Zhuomin Chen Haifeng Chen Hua Wei Dongsheng Luo 101 12 0 03 Oct 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 90 6 0 25 May 2023