ENGAGE: Explanation Guided Data Augmentation for Graph Representation
Learning

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning

3 July 2023

Ninghao Liu

Papers citing "ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning"

11 / 11 papers shown

Title
xAI-Drop: Don't Use What You Cannot Explain Vincenzo Marco De Luca Antonio Longa Andrea Passerini Pietro Lio' 40 0 0 29 Jul 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang Qihui Yang Dawei Zhou Yujun Yan AI4CE 28 2 0 07 Jun 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh V. Chawla 19 1 0 12 Feb 2024
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 35 24 0 18 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 16 9 0 08 Aug 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges Xuansheng Wu Kaixiong Zhou Mingchen Sun Xin Wang Ninghao Liu 40 12 0 13 Mar 2023
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio' Bruno Lepri Andrea Passerini 46 27 0 27 Oct 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 0 30 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 43 21 0 24 Jan 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 110 142 0 05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020