On Explainability of Graph Neural Networks via Subgraph Explorations

9 February 2021

Haiyang Yu

Papers citing "On Explainability of Graph Neural Networks via Subgraph Explorations"

50 / 71 papers shown

Title
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 46 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 146 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 Y. Liu AI4CE 55 0 0 04 May 2025
Dual Explanations via Subgraph Matching for Malware Detection Hossein Shokouhinejad Roozbeh Razavi-Far Griffin Higgins Ali Ghorbani AAML 36 0 0 29 Apr 2025
On the Consistency of GNN Explanations for Malware Detection Hossein Shokouhinejad Griffin Higgins Roozbeh Razavi-Far Hesamodin Mohammadian Ali Ghorbani 17 1 0 22 Apr 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
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi C. Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 69 0 0 12 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 61 1 0 24 Feb 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
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 32 0 0 23 Oct 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 37 0 0 16 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
Automated Molecular Concept Generation and Labeling with Large Language Models Shichang Zhang Botao Xia Zimin Zhang Qianli Wu Fang Sun Ziniu Hu Yizhou Sun 43 0 0 13 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 44 3 0 21 May 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 19 3 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
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 1 0 03 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 42 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 37 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 23 5 0 23 Dec 2023
Generating Explanations to Understand and Repair Embedding-based Entity Alignment Xiaobin Tian Zequn Sun Wei Hu 24 6 0 08 Dec 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 39 4 0 30 Oct 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 26 9 0 08 Aug 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 34 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 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
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 23 20 0 26 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 30 3 0 22 Mar 2023
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 21 1 0 04 Feb 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 25 31 0 04 Jan 2023
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective Yu Zhao Huaming Du Qing Li Fuzhen Zhuang Ji Liu Gang Kou Gang Kou 30 1 0 28 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 31 4 0 01 Nov 2022
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis N. S. D'Souza Hongzhi Wang Andrea Giovannini A. Foncubierta-Rodríguez Kristen L. Beck Orest Boyko T. Syeda-Mahmood AI4CE 26 8 0 25 Oct 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
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 43 99 0 19 Aug 2022
ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes Adrien Raison Pascal Bourdon David Helbert FAtt GNN 24 0 0 26 Jul 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 31 39 0 26 Jul 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 38 14 0 28 Jun 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 48 18 0 27 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 30 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
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin Hao Lan Hao Wang Baochun Li BDL CML 31 50 0 29 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang M. Pagnucco Yang Song 23 31 0 17 Mar 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 40 25 0 16 Feb 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 16 204 0 11 Feb 2022