GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019

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

50 / 198 papers shown

Title
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 60 18 0 27 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 24 2 0 24 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 45 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
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission Siyi Tang Amara Tariq Jared A. Dunnmon Umesh M Sharma Praneetha Elugunti D. Rubin Bhavik Patel Imon Banerjee 18 20 0 14 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 39 45 0 13 Apr 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks Wanyu Lin Hao Lan Hao Wang Baochun Li BDL CML 38 50 0 29 Mar 2022
Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis Yijun Li Stefan Stanojevic L. Garmire 23 25 0 18 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang M. Pagnucco Yang Song 29 31 0 17 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 24 2 0 15 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 27 8 0 14 Mar 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 42 23 0 25 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 33 12 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 46 25 0 16 Feb 2022
XAI for Transformers: Better Explanations through Conservative Propagation Ameen Ali Thomas Schnake Oliver Eberle G. Montavon Klaus-Robert Muller Lior Wolf FAtt 15 89 0 15 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 16 42 0 10 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 50 18 0 05 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 33 11 0 03 Feb 2022
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 39 15 0 01 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 197 0 31 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 102 224 0 30 Jan 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang Yozen Liu Neil Shah Yizhou Sun FAtt 33 45 0 28 Jan 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xia Hu Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 17 14 0 21 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 144 0 19 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 44 38 0 19 Jan 2022
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma Yiran Wei Chao Li Xi Chen Carola-Bibiane Schönlieb S. Price 17 9 0 14 Jan 2022
Toward the Analysis of Graph Neural Networks Thanh-Dat Nguyen Thanh Le-Cong Thanh-Hung Nguyen X. Le Quyet-Thang Huynh GNN 21 3 0 01 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 17 153 0 30 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 32 63 0 21 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Combining Sub-Symbolic and Symbolic Methods for Explainability Anna Himmelhuber S. Grimm Sonja Zillner Mitchell Joblin Martin Ringsquandl Thomas Runkler 21 5 0 03 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 57 81 0 20 Nov 2021
Data-Driven AI Model Signal-Awareness Enhancement and Introspection Sahil Suneja Yufan Zhuang Yunhui Zheng Jim Laredo Alessandro Morari SyDa 32 1 0 10 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks Tetsu Kasanishi Xueting Wang T. Yamasaki FAtt 22 8 0 01 Nov 2021
Learning through structure: towards deep neuromorphic knowledge graph embeddings Victor Caceres Chian Marcel Hildebrandt Thomas Runkler Dominik Dold GNN 16 7 0 21 Sep 2021
Self-learn to Explain Siamese Networks Robustly Chao Chen Yifan Shen Guixiang Ma Xiangnan Kong S. Rangarajan Xi Zhang Sihong Xie 46 5 0 15 Sep 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern H. Menze 19 9 0 30 Aug 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 42 28 0 07 Aug 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks Lucie Charlotte Magister Dmitry Kazhdan Vikash Singh Pietro Lió 35 48 0 25 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 44 18 0 21 Jul 2021
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology Guillaume Jaume Pushpak Pati Valentin Anklin A. Foncubierta M. Gabrani 35 45 0 21 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 26 27 0 11 Jul 2021
Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj Lingyang Chu Zihui Xue J. Pei Lanjun Wang P. C. Lam Yong Zhang OOD 43 96 0 08 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 21 46 0 01 Jul 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 45 23 0 24 Jun 2021
Reimagining GNN Explanations with ideas from Tabular Data Anjali Singh K. ShamanthRNayak Balaji Ganesan LMTD 28 1 0 23 Jun 2021