Parameterized Explainer for Graph Neural Network

9 November 2020

Dongkuan Xu

Papers citing "Parameterized Explainer for Graph Neural Network"

40 / 290 papers shown

Title
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 396 0 20 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
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data Stefan Bloemheuvel Jurgen van den Hoogen Dario Jozinović A. Michelini Martin Atzmueller AI4TS 18 45 0 03 Jan 2022
Toward the Analysis of Graph Neural Networks Thanh-Dat Nguyen Thanh Le-Cong Thanh-Hung Nguyen X. Le Quyet-Thang Huynh GNN 19 3 0 01 Jan 2022
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows Junchi Yu Tingyang Xu Ran He 34 5 0 18 Dec 2021
ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee 25 128 0 02 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 16 13 0 29 Nov 2021
Demystifying Graph Neural Network Explanations Anna Himmelhuber Mitchell Joblin Martin Ringsquandl Thomas Runkler 16 5 0 25 Nov 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
An Empirical Study: Extensive Deep Temporal Point Process Haitao Lin Cheng Tan Lirong Wu Zhangyang Gao Stan. Z. Li AI4TS 13 12 0 19 Oct 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks Indro Spinelli Simone Scardapane A. Uncini 40 19 0 20 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
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations Sk Mainul Islam Sourangshu Bhattacharya 19 11 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
Algorithmic Concept-based Explainable Reasoning Dobrik Georgiev Pietro Barbiero Dmitry Kazhdan Petar Velivcković Pietro Lió 72 16 0 15 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
Towards Automated Evaluation of Explanations in Graph Neural Networks Bannihati Kumar Vanya Balaji Ganesan Aniket Saxena Devbrat Sharma Arvind Agarwal XAI GNN 29 4 0 22 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 27 51 0 16 Jun 2021
SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods Hyeoncheol Cho Youngrock Oh Eunjoo Jeon FAtt 19 0 0 16 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 26 333 0 10 Jun 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 23 38 0 18 May 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 9 86 0 18 Apr 2021
Generative Causal Explanations for Graph Neural Networks Wanyu Lin Hao Lan Baochun Li CML 28 172 0 14 Apr 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 24 119 0 23 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 317 0 19 Mar 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 26 99 0 04 Mar 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 34 380 0 09 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 118 142 0 05 Feb 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 34 215 0 05 Jun 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 37 345 0 17 Jan 2020