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GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019

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

50 / 625 papers shown

Title
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models Zhenzhong Wang Zehui Lin Wanyu Lin Ming Yang Minggang Zeng Kay Chen Tan 84 5 0 25 May 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index Ngoc H. Bui Hieu Trung Nguyen Viet Anh Nguyen Rex Ying FAtt 100 8 0 23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 207 0 0 23 May 2024
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks Dominik Köhler Stefan Heindorf 176 2 0 21 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 213 5 0 21 May 2024
Detecting Complex Multi-step Attacks with Explainable Graph Neural Network Wei Liu Peng Gao Haotian Zhang Kejian Li Weiyong Yang Xingshen Wei Shuji Wu AAML 158 1 0 18 May 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation Guojun Liang Prayag Tiwari Slawomir Nowaczyk Stefan Byttner AI4TS AI4CE 193 6 0 16 May 2024
SMUG-Explain: A Framework for Symbolic Music Graph Explanations E. Karystinaios Francesco Foscarin Gerhard Widmer 121 2 0 15 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations Pantea Habibi Peyman Baghershahi Sourav Medya Debaleena Chattopadhyay 89 1 0 11 May 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records Jiayuan Chen Changchang Yin Yuanlong Wang Ping Zhang 124 8 0 07 May 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time Shengyao Lu Bang Liu Keith G. Mills Jiao He Di Niu 245 5 0 02 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 153 3 0 30 Apr 2024
Global Concept Explanations for Graphs by Contrastive Learning Jonas Teufel Pascal Friederich 110 3 0 25 Apr 2024
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation Zhaoyang Chu Yao Wan Qian Li Yang Wu Hongyu Zhang Yulei Sui Guandong Xu Hai Jin AAML 139 22 0 24 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu D. Yin Qing Li AI4CE 210 38 0 23 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 141 5 0 18 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 173 13 0 09 Apr 2024
AI for DevSecOps: A Landscape and Future Opportunities Michael Fu Jirat Pasuksmit Chakkrit Tantithamthavorn 118 14 0 07 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey Simon Schramm C. Wehner Ute Schmid 103 32 0 04 Apr 2024
Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy Yue Sun Chao Chen Yuesheng Xu Sihong Xie Rick S. Blum Parv Venkitasubramaniam AI4TS OOD 105 1 0 01 Apr 2024
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation Hyeon-Ju Jeon Jeon-Ho Kang In-Hyuk Kwon O-Joun Lee 67 2 0 26 Mar 2024
CoDy: Counterfactual Explainers for Dynamic Graphs Zhan Qu Daniel Gomm Michael Färber CML FAtt 136 2 0 25 Mar 2024
Exploring the Potential of Large Language Models in Graph Generation Yang Yao Xin Eric Wang Zeyang Zhang Yi Qin Ziwei Zhang Xu Chu Yuekui Yang Wenwu Zhu Hong-yan Mei 111 17 0 21 Mar 2024
Graph Partial Label Learning with Potential Cause Discovering Hang Gao Jiaguo Yuan Jiangmeng Li Chengyu Yao Fengge Wu Changwen Zheng Junsuo Zhao 117 0 0 18 Mar 2024
Fast Inference of Removal-Based Node Influence Weikai Li Zhiping Xiao Xiao Luo Luke Huan AAML 141 4 0 13 Mar 2024
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations Harish Naik Jan Polster Raj Shekhar Tamás L. Horváth Gyorgy Turán 115 3 0 12 Mar 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 109 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 286 14 0 11 Mar 2024
Cooperative Classification and Rationalization for Graph Generalization Linan Yue Qi Liu Ye Liu Weibo Gao Fangzhou Yao Wenfeng Li 119 11 0 10 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 128 2 0 07 Mar 2024
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease So Yeon Kim Sehee Wang Eun Kyung Choe 124 0 0 05 Mar 2024
GraphPub: Generation of Differential Privacy Graph with High Availability Wanghan Xu Bin Shi Ao Liu Jiqiang Zhang Bo Dong 89 2 0 28 Feb 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 96 6 0 22 Feb 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 168 1 0 18 Feb 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs Min Namgung Kwang Hee Lee Preston Zhu Vipul Raheja Dongyeop Kang DeLMO 153 11 0 16 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 168 3 0 13 Feb 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks Chirag Chhablani Sarthak Jain Akshay Channesh Ian A. Kash Sourav Medya 157 9 0 08 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations Xu Zheng Farhad Shirani Tianchun Wang Shouwei Gao Wenqian Dong Wei Cheng Dongsheng Luo 100 0 0 07 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 109 2 0 07 Feb 2024
MolTC: Towards Molecular Relational Modeling In Language Models Cunchun Li Shuai Zhang Chang Wu Zhengyi Yang Zhiyuan Liu Changhao Nai Kun Wang Wenjie Du Xiang Wang 333 31 0 06 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 80 10 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Cunchun Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 149 23 0 05 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 156 5 0 03 Feb 2024
X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System Kıymet Kaya Elif Ak Sumeyye Bas B. Canberk Ş. Öğüdücü AAML 127 2 0 01 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei Jin DD 240 62 0 29 Jan 2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability Salvatore Contino Salvatore Contino Maria Rita Gulotta Ugo Perricone Roberto Pirrone 246 0 0 29 Jan 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 98 23 0 26 Jan 2024
GOAt: Explaining Graph Neural Networks via Graph Output Attribution Shengyao Lu Keith G. Mills Jiao He Bang Liu Di Niu FAtt 128 11 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 235 8 0 26 Jan 2024
EL-VIT: Probing Vision Transformer with Interactive Visualization Hong Zhou Rui Zhang Peifeng Lai Chaoran Guo Yong Wang Zhida Sun Junjie Li 50 2 0 23 Jan 2024