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GNNExplainer: Generating Explanations for Graph Neural Networks
v1v2v3v4 (latest)

GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
    LLMAG
ArXiv (abs)PDFHTML

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

50 / 625 papers shown
Title
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
Félix Vandervorst
Bruno Deprez
Wouter Verbeke
Tim Verdonck
AI4CE
10
0
0
07 Oct 2025
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
Cheng Xin
Fan Xu
Xin Ding
Jie Gao
Jiaxin Ding
8
0
0
06 Oct 2025
BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
T. Hu
Qiang Li
Shu Liu
Vince D. Calhoun
Guido van Wingen
Shujian Yu
12
0
0
03 Oct 2025
On The Expressive Power of GNN Derivatives
On The Expressive Power of GNN Derivatives
Yam Eitan
Moshe Eliasof
Yoav Gelberg
Fabrizio Frasca
Guy Bar-Shalom
Haggai Maron
16
0
0
02 Oct 2025
MUSE-Explainer: Counterfactual Explanations for Symbolic Music Graph Classification Models
MUSE-Explainer: Counterfactual Explanations for Symbolic Music Graph Classification Models
Baptiste Hilaire
E. Karystinaios
Gerhard Widmer
0
0
0
30 Sep 2025
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
Hanze Guo
Yijun Ma
Xiao Zhou
4
0
0
30 Sep 2025
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
Wei Huang
De-Tian Chu
Lin-Yuan Bai
Wei Kang
H. Zhang
Bo Li
Zhi-Mo Han
Jing Ge
H. Lin
AAML
20
0
0
25 Sep 2025
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Niharika Tewari
Nguyen Linh Dan Le
Mujie Liu
Jing Ren
Ziqi Xu
Tabinda Sarwar
Veeky Baths
Feng Xia
8
0
0
23 Sep 2025
Budgeted Adversarial Attack against Graph-Based Anomaly Detection in Sensor Networks
Budgeted Adversarial Attack against Graph-Based Anomaly Detection in Sensor Networks
Sanju Xaviar
Omid Ardakanian
AAML
16
0
0
22 Sep 2025
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
Riya Ponraj
Ram Durairajan
Yu Wang
AAML
13
0
0
22 Sep 2025
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
Wenchao Gu
Yupan Chen
Yanlin Wang
Hongyu Zhang
Cuiyun Gao
Michael R. Lyu
AAML
20
0
0
14 Sep 2025
Explainable Fraud Detection with GNNExplainer and Shapley Values
Explainable Fraud Detection with GNNExplainer and Shapley Values
Ngoc Hieu Dao
12
0
0
12 Sep 2025
Database Views as Explanations for Relational Deep Learning
Database Views as Explanations for Relational Deep Learning
Agapi Rissaki
Ilias Fountalis
Wolfgang Gatterbauer
Benny Kimelfeld
36
0
0
11 Sep 2025
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Jarvis Haupt
Qin Lu
Yanning Shen
Jia Chen
Yue Dong
Dan McCreary
Mehmet Akçakaya
G. Giannakis
28
0
0
10 Sep 2025
Superposition in Graph Neural Networks
Superposition in Graph Neural Networks
Lukas Pertl
Han Xuanyuan
Pietro Lio
GNN
45
0
0
31 Aug 2025
A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models
A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models
Soham Petkar
Hari Aakash K
Anirudh Vempati
Akshit Sinha
Ponnurangam Kumarauguru
Chirag Agarwal
32
0
0
28 Aug 2025
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
David Egea
Barproda Halder
Sanghamitra Dutta
AAML
40
0
0
26 Aug 2025
Enhancing Chemical Explainability Through Counterfactual Masking
Enhancing Chemical Explainability Through Counterfactual Masking
Łukasz Janisiów
Marek Kochańczyk
Bartosz Zieliñski
Tomasz Danel
AAML
28
0
0
25 Aug 2025
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
Lingkai Kong
Haotian Sun
Yuchen Zhuang
Haorui Wang
Wenhao Mu
Chao Zhang
BDL
52
5
0
23 Aug 2025
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis
Sebastian Musiał
Bartosz Zieliñski
Tomasz Danel
AAML
28
0
0
20 Aug 2025
X-Node: Self-Explanation is All We Need
X-Node: Self-Explanation is All We Need
Prajit Sengupta
Islem Rekik
41
0
0
14 Aug 2025
A Graph Neural Network based on a Functional Topology Model: Unveiling the Dynamic Mechanisms of Non-Suicidal Self-Injury in Single-Channel EEG
A Graph Neural Network based on a Functional Topology Model: Unveiling the Dynamic Mechanisms of Non-Suicidal Self-Injury in Single-Channel EEG
BG Tong
31
0
0
10 Aug 2025
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
Peyman Baghershahi
Gregoire Fournier
Pranav Nyati
Sourav Medya
40
1
0
09 Aug 2025
GEDAN: Learning the Edit Costs for Graph Edit Distance
GEDAN: Learning the Edit Costs for Graph Edit Distance
Francesco Leonardi
Markus Orsi
Jean-Louis Reymond
Kaspar Riesen
GNN
58
0
0
05 Aug 2025
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation
Zhuomin Chen
Jingchao Ni
Hojat Allah Salehi
Xu Zheng
Dongsheng Luo
42
0
0
03 Aug 2025
Explaining GNN Explanations with Edge Gradients
Explaining GNN Explanations with Edge Gradients
Jesse He
Akbar Rafiey
Gal Mishne
Yusu Wang
AAMLFAtt
56
0
0
01 Aug 2025
Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code
Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code
Nima Atashin
Behrouz Tork Ladani
Mohammadreza Sharbaf
43
0
0
23 Jul 2025
PyG 2.0: Scalable Learning on Real World Graphs
PyG 2.0: Scalable Learning on Real World Graphs
Matthias Fey
Jinu Sunil
Akihiro Nitta
Rishi Puri
Manan Shah
...
Vid Kocijan
Zecheng Zhang
Xinwei He
J. E. Lenssen
J. Leskovec
GNNAI4CE
114
10
0
22 Jul 2025
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
Research on the application of graph data structure and graph neural network in node classification/clustering tasks
Yihan Wang
Jianing Zhao
GNN
45
0
0
20 Jul 2025
Explainable Graph Neural Networks via Structural Externalities
Explainable Graph Neural Networks via Structural ExternalitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Lijun Wu
Dong Hao
Zhiyi Fan
49
1
0
19 Jul 2025
Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Network with Group Lasso Regularization
Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Network with Group Lasso Regularization
Zanyu Shi
Yang Wang
P. Weerawarna
Jie Zhang
Timothy W. Richardson
Yijie Wang
Kun Huang
14
0
0
04 Jul 2025
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations
Kunal Mukherjee
Zachary Harrison
Saeid Balaneshin
118
0
0
01 Jul 2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Ana Kostovska
Carola Doerr
Sašo Džeroski
P. Panov
T. Eftimov
85
0
0
19 Jun 2025
Rethinking Explainability in the Era of Multimodal AI
Rethinking Explainability in the Era of Multimodal AI
Chirag Agarwal
123
1
0
16 Jun 2025
RAW-Explainer: Post-hoc Explanations of Graph Neural Networks on Knowledge Graphs
RAW-Explainer: Post-hoc Explanations of Graph Neural Networks on Knowledge Graphs
Ryoji Kubo
Djellel Difallah
52
0
0
14 Jun 2025
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
Riddhiman Raut
R. Maulik
Shivam Barwey
AI4CE
83
0
0
13 Jun 2025
AI-Based Software Vulnerability Detection: A Systematic Literature Review
AI-Based Software Vulnerability Detection: A Systematic Literature Review
Samiha Shimmi
Hamed Okhravi
Mona Rahimi
190
0
0
12 Jun 2025
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
Sai Vamsi Alisetti
Vikas Kalagi
Sanjukta Krishnagopal
AI4TS
73
0
0
01 Jun 2025
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
Jiaxing Zhang
Xiaoou Liu
Dongsheng Luo
Hua Wei
FAtt
106
1
0
31 May 2025
Studying and Improving Graph Neural Network-based Motif Estimation
Studying and Improving Graph Neural Network-based Motif Estimation
Pedro C. Vieira
Miguel E. P. Silva
Pedro Manuel Pinto Ribeiro
138
0
0
30 May 2025
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
Tu Bui
Mohamed Suliman
Aparajita Haldar
Mohammed Amer
Serban Georgescu
GNN
113
0
0
29 May 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
Gangwei Jiang
Yahui Liu
Zhaoyi Li
Qi Wang
Fuzheng Zhang
Linqi Song
Ying Wei
Defu Lian
LRM
115
6
0
28 May 2025
Learnable Kernel Density Estimation for Graphs
Learnable Kernel Density Estimation for Graphs
Xudong Wang
Ziheng Sun
Chris Ding
Jicong Fan
161
0
0
27 May 2025
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
Rishabh Bhattacharya
Hari Shankar
Vaishnavi Shivkumar
Ponnurangam Kumaraguru
84
0
0
26 May 2025
Graph Inverse Style Transfer for Counterfactual Explainability
Graph Inverse Style Transfer for Counterfactual Explainability
Bardh Prenkaj
Efstratios Zaradoukas
Gjergji Kasneci
AAML
133
0
0
23 May 2025
Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
Shuichi Nishino
Tomohiro Shiraishi
Teruyuki Katsuoka
Ichiro Takeuchi
93
0
0
22 May 2025
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
122
0
0
21 May 2025
Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling
Badhan Mazumder
Ayush Kanyal
Lei Wu
Vince D. Calhoun
Dong Hye Ye
228
3
0
21 May 2025
Unlearning Algorithmic Biases over Graphs
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MUFaML
172
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0
20 May 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Han Zhang
Yan Wang
Guanfeng Liu
Pengfei Ding
Huaxiong Wang
Kwok-Yan Lam
178
0
0
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