Towards Faithful and Consistent Explanations for Graph Neural Networks

27 May 2022

Papers citing "Towards Faithful and Consistent Explanations for Graph Neural Networks"

5 / 5 papers shown

Title
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion Jialin Chen Shirley Wu Abhijit Gupta Rex Ying DiffM 42 4 0 30 Oct 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data Weijieying Ren Tianxiang Zhao Wei Qin Kunpeng Liu TTA AI4TS 21 5 0 05 Sep 2023
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 99 224 0 30 Jan 2022
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 593 0 31 Dec 2020