Towards Self-Explainable Graph Neural Network

26 August 2021

Papers citing "Towards Self-Explainable Graph Neural Network"

50 / 52 papers shown

Title
Finding Counterfactual Evidences for Node Classification Dazhuo Qiu Jinwen Chen Arijit Khan Yan Zhao Francesco Bonchi CML 21 0 0 16 May 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 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 76 2 0 14 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 45 0 0 28 Jan 2025
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 33 1 0 17 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 10 0 01 Nov 2024
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process Xingyu Ji Jiale Liu Lu Li Maojun Wang Zeyu Zhang 28 1 0 02 Oct 2024
Interpretable Graph Neural Networks for Heterogeneous Tabular Data Amr Alkhatib Henrik Bostrom LMTD 41 1 0 14 Aug 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 33 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 40 5 0 02 Jul 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 26 3 0 14 Jun 2024
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs Lanting Fang Yulian Yang Kai Wang Shanshan Feng Kaiyu Feng Jie Gui Shuliang Wang Y. Ong 32 1 0 29 May 2024
Responsible AI: Portraits with Intelligent Bibliometrics Yi Zhang Mengjia Wu Guangquan Zhang Jie Lu 32 0 0 05 May 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 27 7 0 28 Apr 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei-dong Jin AI4CE 34 39 0 28 Mar 2024
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting Edgar Medina Leyong Loh Namrata Gurung Kyung Hun Oh Niels Heller 3DH 45 3 0 21 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 32 2 0 13 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 47 0 0 07 Jan 2024
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 52 0 28 Nov 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 44 1 0 25 Nov 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 22 5 0 27 Oct 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 29 49 0 25 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 24 6 0 05 Oct 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 32 11 0 03 Oct 2023
On the Robustness of Post-hoc GNN Explainers to Label Noise Zhiqiang Zhong Yangqianzi Jiang Davide Mottin AAML NoLa 32 3 0 04 Sep 2023
How Faithful are Self-Explainable GNNs? Marc Christiansen Lea Villadsen Zhiqiang Zhong Stefano Teso Davide Mottin 18 3 0 29 Aug 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 36 4 0 17 Aug 2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task Jiaxing Zhang Zhuomin Chen Hao Mei Dongsheng Luo Hua Wei 42 8 0 15 Jul 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation Jiaxing Zhang Dongsheng Luo Huazhou Wei 23 20 0 15 Jul 2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification Guangyi Liu Tong Zhang Xudong Wang Wenting Zhao Chuanwei Zhou Zhen Cui 30 1 0 18 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 25 14 0 14 Jun 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
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 28 1 0 25 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
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 16 47 0 11 Feb 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 28 7 0 07 Jan 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 24 5 0 17 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 42 21 0 25 Nov 2022
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 26 8 0 23 Nov 2022
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 20 3 0 20 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 30 12 0 05 Oct 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
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 37 8 0 26 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
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 31 132 0 18 Apr 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 33 92 0 01 Jan 2022
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 45 18 0 15 Oct 2021