A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics

26 July 2022

Jianlong Zhou

Papers citing "A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics"

25 / 25 papers shown

Title
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song S. Liu AI4CE 44 1 0 01 May 2025
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 31 2 0 22 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 38 5 0 02 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning Jiajun Zhu Siqi Miao Rex Ying Pan Li 38 1 0 30 Jun 2024
Generating Human Understandable Explanations for Node Embeddings Zohair Shafi Ayan Chatterjee Tina Eliassi-Rad 29 1 0 11 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 38 0 0 10 Jun 2024
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks Dominik Köhler Stefan Heindorf 28 0 0 21 May 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Zhuomin Chen Jiaxing Zhang Jingchao Ni Xiaoting Li Yuchen Bian Md. Mezbahul Islam A. Mondal Hua Wei Dongsheng Luo 16 1 0 03 Feb 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Ming-Yi Hong Yi-Hsiang Huang Shao-En Lin You-Chen Teng Chih-Yu Wang Che Lin 35 0 0 07 Jan 2024
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 39 3 0 09 Nov 2023
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 27 11 0 03 Oct 2023
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks Yiqiao Li Jianlong Zhou Yifei Dong Niusha Shafiabady Fang Chen LLMAG 27 4 0 29 Sep 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 36 6 0 31 Jul 2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task Jiaxing Zhang Zhuomin Chen Hao Mei Dongsheng Luo Hua Wei 39 8 0 15 Jul 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation Jiaxing Zhang Dongsheng Luo Huazhou Wei 21 20 0 15 Jul 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
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study V. Nguyen Truong Son-Hy Long Tran-Thanh N. Nghiem 26 5 0 12 May 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 19 2 0 27 Apr 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 18 1 0 25 Apr 2023
GANExplainer: GAN-based Graph Neural Networks Explainer Yiqiao Li Jianlong Zhou Boyuan Zheng Fang Chen LLMAG 32 4 0 30 Dec 2022
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks Yuebing Liang Guan Huang Zhan Zhao OOD 24 15 0 16 Nov 2022
The Path to Autonomous Learners Hanna Abi Akl 22 1 0 04 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
Machine Learning Partners in Criminal Networks Diego D. Lopes B. R. D. Cunha Alvaro F. Martins S. Gonçalves E. Lenzi Q. Hanley M. Perc H. V. Ribeiro 11 22 0 07 Sep 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 591 0 31 Dec 2020