GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks

15 September 2022

Papers citing "GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks"

7 / 7 papers shown

Title
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks Xiao Yue Guangzhi Qu Lige Gan GAN FAtt AI4CE 63 0 0 08 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 68 2 0 14 Feb 2025
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 37 3 0 21 May 2024
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 34 4 0 30 Oct 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 11 1 0 25 Apr 2023
MotifExplainer: a Motif-based Graph Neural Network Explainer Zhaoning Yu Hongyang Gao 31 15 0 01 Feb 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 591 0 31 Dec 2020