GNNExplainer: Generating Explanations for Graph Neural Networks

10 March 2019

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

48 / 198 papers shown

Title
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
Vulnerability Detection with Fine-grained Interpretations Yi Li Shaohua Wang T. Nguyen AAML 18 210 0 19 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
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lió Marco Gori S. Melacci FAtt XAI 25 78 0 12 Jun 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 33 26 0 11 May 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Danilo Numeroso D. Bacciu 29 38 0 16 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 31 74 0 08 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
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 27 32 0 02 Mar 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 54 197 0 28 Jan 2021
Machine learning dismantling and early-warning signals of disintegration in complex systems Marco Grassia Manlio De Domenico G. Mangioni AAML 174 85 0 07 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
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
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 32 32 0 25 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 26 76 0 25 Nov 2020
xFraud: Explainable Fraud Transaction Detection Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Zhiyao Chen Yinan Shan Yang Zhao Ce Zhang 33 49 0 24 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 16 7 0 24 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 33 315 0 17 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 53 540 0 09 Nov 2020
Explaining Deep Graph Networks with Molecular Counterfactuals Danilo Numeroso D. Bacciu 15 10 0 09 Nov 2020
Scientific intuition inspired by machine learning generated hypotheses Pascal Friederich Mario Krenn Isaac Tamblyn Alán Aspuru-Guzik AI4CE 24 34 0 27 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 29 36 0 26 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 16 328 0 12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 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
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 36 225 0 30 Sep 2020
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization Chaojie Ji Yijia Zheng Ruxin Wang Yunpeng Cai Hongyan Wu 26 18 0 14 Aug 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 625 0 01 Jul 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 26 134 0 18 Jun 2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks Federico Baldassarre Kevin Smith Josephine Sullivan Hossein Azizpour 27 25 0 16 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 27 287 0 15 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 42 161 0 14 Jun 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
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 34 389 0 03 Jun 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 35 482 0 28 May 2020
Directed Graph Convolutional Network Zekun Tong Keli Zhang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 26 112 0 29 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 31 7 0 21 Apr 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 35 11 0 07 Mar 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 57 319 0 10 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lió 25 42 0 10 Feb 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
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers Robert Schwarzenberg Marc Hübner David Harbecke Christoph Alt Leonhard Hennig FAtt GNN 12 69 0 24 Sep 2019
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs Daniel Neil Joss Briody A. Lacoste Aaron Sim Páidí Creed Amir Saffari GNN 66 35 0 01 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 206 885 0 07 Jun 2018