Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods

16 June 2021

Himabindu Lakkaraju

Papers citing "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods"

28 / 28 papers shown

Title
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 45 0 0 03 May 2025
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 31 0 0 29 Oct 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 23 0 0 17 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 31 4 0 13 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 36 0 0 10 Jun 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations Harish Naik Jan Polster Raj Shekhar Tamás L. Horváth Gyorgy Turán 26 3 0 12 Mar 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 18 5 0 05 Feb 2024
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions Razieh Rezaei Alireza Dizaji Ashkan Khakzar Anees Kazi Nassir Navab Daniel Rueckert 13 0 0 01 Jan 2024
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 21 3 0 20 Oct 2023
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations Kenza Amara Mennatallah El-Assady Rex Ying 28 6 0 28 Sep 2023
Evaluating Link Prediction Explanations for Graph Neural Networks Claudio Borile Alan Perotti Andre' Panisson FAtt 38 2 0 03 Aug 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 12 12 0 12 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 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
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 22 15 0 17 Mar 2023
Uncertainty Quantification for Local Model Explanations Without Model Access Surin Ahn J. Grana Yafet Tamene Kristian Holsheimer FAtt 16 0 0 13 Jan 2023
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 25 7 0 30 Nov 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 46 27 0 27 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 26 7 0 28 Sep 2022
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 36 99 0 19 Aug 2022
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network Nikolaos Gkalelis Dimitrios Daskalakis Vasileios Mezaris 8 10 0 20 Jul 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 31 3 0 24 Jun 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 16 49 0 20 Jun 2022
A Sea of Words: An In-Depth Analysis of Anchors for Text Data Gianluigi Lopardo F. Precioso Damien Garreau 19 6 0 27 May 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 30 8 0 26 May 2022
Rethinking Stability for Attribution-based Explanations Chirag Agarwal Nari Johnson Martin Pawelczyk Satyapriya Krishna Eshika Saxena Marinka Zitnik Himabindu Lakkaraju FAtt 14 50 0 14 Mar 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020