DEGREE: Decomposition Based Explanation For Graph Neural Networks

DEGREE: Decomposition Based Explanation For Graph Neural Networks

22 May 2023

Ninghao Liu

Fan Yang

Papers citing "DEGREE: Decomposition Based Explanation For Graph Neural Networks"

18 / 18 papers shown

Title
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction Shengyao Lu Jiuding Yang Baochun Li Di Niu 43 0 0 12 Mar 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 52 2 0 14 Feb 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 31 2 0 03 Jan 2025
Graph Neural Network Causal Explanation via Neural Causal Models Arman Behnam Binghui Wang CML 32 3 0 12 Jul 2024
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery Lingbai Kong Wengen Li Hanchen Yang Yichao Zhang Jihong Guan Shuigeng Zhou CML AI4TS 25 0 0 24 Jun 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index Ngoc H. Bui Hieu Trung Nguyen Viet Anh Nguyen Rex Ying FAtt 30 1 0 23 May 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time Shengyao Lu Bang Liu Keith G. Mills Jiao He Di Niu 31 3 0 02 May 2024
GOAt: Explaining Graph Neural Networks via Graph Output Attribution Shengyao Lu Keith G. Mills Jiao He Bang Liu Di Niu FAtt 21 8 0 26 Jan 2024
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 31 2 0 02 Nov 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 15 9 0 09 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 26 23 0 02 Jun 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 14 12 0 17 Mar 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks Wenqian Li Yinchuan Li Zhigang Li Jianye Hao Yan Pang 77 29 0 04 Mar 2023
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 20 7 0 28 Sep 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 36 98 0 16 May 2022
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 26 14 0 01 Feb 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 105 87 0 05 Feb 2021
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 160 190 0 18 Oct 2019