RelEx: A Model-Agnostic Relational Model Explainer

30 May 2020

Yue Zhang

Papers citing "RelEx: A Model-Agnostic Relational Model Explainer"

24 / 24 papers shown

Title
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing Longlong Li Cunquan Qu Guanghui Wang 79 0 0 21 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 87 0 0 19 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 143 2 0 14 Feb 2025
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks Hsiao-Ying Lu Yiran Li Ujwal Pratap Krishna Kaluvakolanu Thyagarajan K. Ma 83 0 0 06 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 132 3 0 21 May 2024
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 103 14 0 03 Oct 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks Gao Li M. Duda Xinming Zhang Danai Koutra Yujun Yan 91 9 0 26 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Helen Zhou 91 9 0 09 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 68 28 0 02 Jun 2023
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 76 4 0 02 Dec 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 113 31 0 27 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 81 7 0 28 Sep 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 104 40 0 26 Jul 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara Rex Ying Zitao Zhang Zhihao Han Yinan Shan U. Brandes S. Schemm Ce Zhang 88 57 0 20 Jun 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Yanfeng Guo P. Zhao OOD 113 28 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 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 109 144 0 18 Apr 2022
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 85 15 0 01 Feb 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Helen Zhou Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 96 14 0 21 Jan 2022
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 91 113 0 01 Jul 2021
Counterfactual Graphs for Explainable Classification of Brain Networks Carlo Abrate Francesco Bonchi CML 84 57 0 16 Jun 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 76 41 0 16 Apr 2021
Explaining Deep Graph Networks with Molecular Counterfactuals Danilo Numeroso D. Bacciu 57 10 0 09 Nov 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh D. Yin Yi-Ju Chang FAtt 104 362 0 17 Jan 2020