GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

17 January 2020

Papers citing "GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks"

50 / 54 papers shown

Title
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation J. Qu Wenhan Gao Jiaxing Zhang Xufeng Liu Hua Wei Haibin Ling Lingjuan Lyu AI4CE 57 0 0 04 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 47 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 38 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 41 0 0 08 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 73 2 0 14 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 51 7 0 31 Dec 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
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
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 21 0 0 07 Feb 2024
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 4 0 30 Oct 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 30 4 0 07 Aug 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 23 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 16 1 0 21 May 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
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations Chen Peng Zhengqi Dai Guangping Xia Yajie Niu Yihui Lei 23 0 0 09 Feb 2023
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 24 1 0 04 Feb 2023
GANExplainer: GAN-based Graph Neural Networks Explainer Yiqiao Li Jianlong Zhou Boyuan Zheng Fang Chen LLMAG 32 4 0 30 Dec 2022
A Modality-level Explainable Framework for Misinformation Checking in Social Networks Vítor Lourencco A. Paes 22 3 0 08 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 16 4 0 02 Dec 2022
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 26 8 0 23 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 27 12 0 05 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 33 7 0 28 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 56 16 0 07 Sep 2022
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 48 99 0 19 Aug 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data Tomás Pevný Viliam Lisý B. Bosanský P. Somol Michal Pěchouček 17 1 0 04 Aug 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 34 39 0 26 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang L. Zhang 21 24 0 14 Jul 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 41 14 0 28 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 43 0 0 31 May 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 52 18 0 27 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 19 2 0 24 May 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 Zhe Liu P. Zhao OOD 37 25 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 16 2 0 15 Mar 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 89 0 15 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 47 18 0 05 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 197 0 31 Jan 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations Weronika Hryniewska Adrianna Grudzieñ P. Biecek FAtt 50 3 0 15 Nov 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 84 0 26 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 42 28 0 07 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 38 18 0 21 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 107 0 01 Jul 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 37 23 0 24 Jun 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 23 38 0 18 May 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 21 38 0 16 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 23 74 0 08 Apr 2021