GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019

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

50 / 198 papers shown

Title
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 39 10 0 18 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Wataru Kawabe Yuri Nakao Akihisa Shitara Yusuke Sugano 28 1 0 10 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 21 1 0 25 Apr 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li Zhigang Li Wenqian Li Yunfeng Shao Yan Zheng Jianye Hao 32 3 0 24 Apr 2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability Indro Spinelli Michele Guerra F. Bianchi Simone Scardapane 36 0 0 14 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
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 27 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
High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion Anh Duy Nguyen H. Pham Huynh Thanh Trung Quoc Viet Hung Nguyen Thao Nguyen Truong Phi Le Nguyen MedIm 24 6 0 17 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk Jiafu Wu Mufeng Yao Dong Wu M. Chi Baokun Wang Ruofan Wu Xin Fu Changhua Meng Weiqiang Wang 16 3 0 06 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 37 36 0 26 Feb 2023
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images Mark Eastwood H. Sailem Silviu Tudor Marc Xiaohong Gao J. Offman ... W. Cookson M. Moffatt S. Popat F. Minhas J. Robertus 33 1 0 23 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 35 25 0 11 Feb 2023
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 27 1 0 04 Feb 2023
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI Juntao Tan Yongfeng Zhang 28 6 0 27 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 40 32 0 04 Jan 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 37 12 0 02 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 18 4 0 02 Dec 2022
xEM: Explainable Entity Matching in Customer 360 Sukriti Jaitly Deepa Mariam George Balaji Ganesan Muhammad Ameen Srinivas Pusapati 21 0 0 01 Dec 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 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
INGREX: An Interactive Explanation Framework for Graph Neural Networks Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 23 0 0 03 Nov 2022
Global Counterfactual Explainer for Graph Neural Networks Mert Kosan Zexi Huang Sourav Medya Sayan Ranu Ambuj K. Singh 34 47 0 21 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 35 54 0 16 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 33 12 0 05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 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 64 16 0 07 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 32 148 0 31 Aug 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lió MILM 37 41 0 22 Aug 2022
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 51 102 0 19 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 50 373 0 05 Aug 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data Tomás Pevný Viliam Lisý B. Bosanský P. Somol Michal Pěchouček 25 1 0 04 Aug 2022
ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes Adrien Raison Pascal Bourdon David Helbert FAtt GNN 27 0 0 26 Jul 2022
OCTAL: Graph Representation Learning for LTL Model Checking Prasita Mukherjee Haoteng Yin Susheel Suresh Tiark Rompf 27 4 0 24 Jul 2022
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network Nikolaos Gkalelis Dimitrios Daskalakis Vasileios Mezaris 19 10 0 20 Jul 2022
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics Wai Weng Lo Gayan K. Kulatilleke Mohanad Sarhan S. Layeghy Marius Portmann 26 41 0 19 Jul 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 26 5 0 19 Jul 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs Thanh Tam Nguyen Thanh Cong Phan Minh Hieu Nguyen Matthias Weidlich Hongzhi Yin Jun Jo Quoc Viet Hung Nguyen MLAU 20 17 0 17 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model Haoteng Tang Guixiang Ma Lei Guo Xiyao Fu Heng-Chiao Huang Li Zhang 28 24 0 14 Jul 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 71 78 0 30 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 37 17 0 22 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 33 116 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Sihang Li Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 27 93 0 16 Jun 2022
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer Maksim Zhdanov S. Steinmann Nico Hoffmann 27 11 0 04 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 49 0 0 31 May 2022