Factorized Explainer for Graph Neural Networks

9 December 2023

Papers citing "Factorized Explainer for Graph Neural Networks"

8 / 8 papers shown

Title
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
Explaining Graph Neural Networks via Structure-aware Interaction Index Ngoc H. Bui Hieu Trung Nguyen Viet Anh Nguyen Rex Ying FAtt 35 4 0 23 May 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck Zichuan Liu Tianchun Wang Jimeng Shi Xu Zheng Zhuomin Chen Lei Song Wenqian Dong J. Obeysekera Farhad Shirani Dongsheng Luo AI4TS 24 7 0 15 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 39 3 0 02 May 2024
Protecting Your LLMs with Information Bottleneck Zichuan Liu Zefan Wang Linjie Xu Jinyu Wang Lei Song Tianchun Wang Chunlin Chen Wei Cheng Jiang Bian KELM AAML 51 15 0 22 Apr 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Zhuomin Chen Jiaxing Zhang Jingchao Ni Xiaoting Li Yuchen Bian Md. Mezbahul Islam A. Mondal Hua Wei Dongsheng Luo 16 1 0 03 Feb 2024
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020