GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019

Papers citing "GNNExplainer: Generating Explanations for Graph Neural Networks"

50 / 198 papers shown

Title
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 49 0 0 11 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 51 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 176 0 0 05 May 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Yong-Jin Liu AI4CE 60 0 0 04 May 2025
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wei Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haozhao Wang Ruixuan Li 164 1 0 04 May 2025
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking Alireza Sadeghi F. Hajati A. Argha Nigel H Lovell Min Yang Hamid Alinejad-Rokny 41 0 0 03 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 52 0 0 19 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 43 0 0 12 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers Xuexin Chen Ruichu Cai Zhengting Huang Zijian Li Jie Zheng Min Wu 46 0 0 08 Mar 2025
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence Zhan Qu Shuzhou Yuan Michael Färber Marius Brennfleck Niklas Wartha Anton Stephan 3DPC 41 0 0 01 Mar 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network Dongsheng Chen Yu Feng Xun Li Mingya Qu Peng Luo Liqiu Meng HAI AI4CE 57 0 0 22 Feb 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zhifeng Hao 54 7 0 31 Dec 2024
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 65 4 0 31 Dec 2024
BrainMAP: Learning Multiple Activation Pathways in Brain Networks Song Wang Zhenyu Lei Zhen Tan Jiaqi Ding Xinyu Zhao ... Guorong Wu Tianlong Chen Chen Chen Aiying Zhang Jundong Li 61 0 0 23 Dec 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 52 0 0 04 Nov 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 76 0 0 29 Oct 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks Hao Sui Bing Chen J. Zhang Chengcheng Zhu Di Wu Qinghua Lu Guodong Long AAML 31 1 0 18 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 38 0 0 03 Oct 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 54 0 0 21 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Beini Xie Heng Chang Ziwei Zhang Zeyang Zhang Simin Wu Xin Wang Yuan Meng Wenwu Zhu 37 2 0 24 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 43 0 0 10 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 47 3 0 21 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 21 3 0 11 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease So Yeon Kim Sehee Wang Eun Kyung Choe 26 0 0 05 Mar 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 24 1 0 22 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 38 2 0 13 Feb 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 23 0 0 07 Feb 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 18 2 0 03 Feb 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 32 12 0 26 Jan 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 33 6 0 26 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 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 47 0 0 07 Jan 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 25 5 0 23 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Robust Stochastic Graph Generator for Counterfactual Explanations Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo CML 13 3 0 18 Dec 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 5 0 30 Oct 2023
SCAR: Power Side-Channel Analysis at RTL-Level Amisha Srivastava Sanjay Das Navnil Choudhury Rafail Psiakis Pedro Henrique Silva Debjit Pal Kanad Basu 32 8 0 10 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 0 31 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 32 9 0 08 Aug 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support Jie Wang Zheng Yan Jiahe Lan Elisa Bertino Witold Pedrycz 28 11 0 23 Jun 2023
Improving Expressivity of Graph Neural Networks using Localization Anant Kumar Shrutimoy Das Shubhajit Roy Binita Maity Anirban Dasgupta 33 0 0 31 May 2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Marion Neumeier Andreas Tollkühn S. Dorn M. Botsch Wolfgang Utschick GNN 19 4 0 25 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 36 6 0 25 May 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 25 22 0 22 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 18 1 0 21 May 2023