Parameterized Explainer for Graph Neural Network

9 November 2020

Dongkuan Xu

Papers citing "Parameterized Explainer for Graph Neural Network"

50 / 290 papers shown

Title
Explainability in subgraphs-enhanced Graph Neural Networks Michele Guerra Indro Spinelli Simone Scardapane F. Bianchi 16 1 0 16 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang Hang Shen 34 41 0 15 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 64 16 0 07 Sep 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
Robust Causal Graph Representation Learning against Confounding Effects Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Bing Xu Changwen Zheng Gang Hua OOD CML 19 16 0 18 Aug 2022
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes Tien-Cuong Bui Wen-Syan Li S. Cha 13 1 0 05 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 30 27 0 04 Aug 2022
Encoding Concepts in Graph Neural Networks Lucie Charlotte Magister Pietro Barbiero Dmitry Kazhdan F. Siciliano Gabriele Ciravegna Fabrizio Silvestri M. Jamnik Pietro Lio 33 21 0 27 Jul 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
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 34 39 0 26 Jul 2022
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation Jiaxuan Xie Yezi Liu Yanning Shen FAtt 14 12 0 22 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 21 4 0 22 Jul 2022
Demystifying Graph Convolution with a Simple Concatenation Zhiqian Chen Zonghan Zhang GNN 14 0 0 18 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
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 44 15 0 28 Jun 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 35 11 0 26 Jun 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu-Chiang Frank Wang Tyler Derr Jundong Li 37 23 0 24 Jun 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara Rex Ying Zitao Zhang Zhihao Han Yinan Shan U. Brandes S. Schemm Ce Zhang 32 50 0 20 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks Adrien Raison Pascal Bourdon David Helbert 17 1 0 07 Jun 2022
GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation Mario Alfonso Prado-Romero Giovanni Stilo 6 16 0 07 Jun 2022
Principle of Relevant Information for Graph Sparsification Shujian Yu Francesco Alesiani Wenzhe Yin Robert Jenssen José C. Príncipe 13 10 0 31 May 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 46 0 0 31 May 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 57 18 0 27 May 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 43 8 0 26 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
Towards Explanation for Unsupervised Graph-Level Representation Learning Qinghua Zheng Jihong Wang Minnan Luo Yaoliang Yu Jundong Li L. Yao Xiao Chang 24 1 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
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck Kaizhong Zheng Shujian Yu Baojuan Li Robert Jenssen Badong Chen AI4MH 29 9 0 07 May 2022
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis Houliang Zhou Lifang He Yu Zhang Li Shen Brian Chen 26 24 0 27 Apr 2022
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection Zehui Chen Zhenyu Li Shiquan Zhang Liangji Fang Qinhong Jiang Feng Zhao 23 45 0 25 Apr 2022
Reinforced Causal Explainer for Graph Neural Networks Xiang Wang Y. Wu An Zhang Fuli Feng Xiangnan He Tat-Seng Chua CML 25 47 0 23 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 34 133 0 18 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
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang M. Pagnucco Yang Song 29 31 0 17 Mar 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 42 23 0 25 Feb 2022
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning Juntao Tan Shijie Geng Zuohui Fu Yingqiang Ge Shuyuan Xu Yunqi Li Yongfeng Zhang 38 109 0 17 Feb 2022
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs Alan Perotti P. Bajardi Francesco Bonchi Andre' Panisson FAtt 13 8 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
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 26 216 0 14 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
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
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships Alessio Ragno Dylan Savoia Roberto Capobianco GNN 17 0 0 25 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