Explanation-Preserving Augmentation for Semi-Supervised Graph
Representation Learning

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning

16 October 2024

Hojat Allah Salehi

Esteban Schafir

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Papers citing "Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning"

19 / 19 papers shown

Title
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 64 12 0 05 Oct 2023
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 78 55 0 16 Oct 2022
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 63 200 0 28 Oct 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 98 151 0 21 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 86 172 0 02 Sep 2021
Graph Contrastive Learning Automated Yuning You Tianlong Chen Yang Shen Zhangyang Wang 81 479 0 10 Jun 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 65 92 0 18 Apr 2021
Generative Causal Explanations for Graph Neural Networks Wanyu Lin Hao Lan Baochun Li CML 61 178 0 14 Apr 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 393 0 09 Feb 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,076 0 20 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 89 1,114 0 27 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 52 157 0 12 Oct 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Helen Zhou Shuiwang Ji 88 401 0 03 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,136 0 13 Nov 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 173 865 0 31 Jul 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 176 271 0 31 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 150 1,333 0 10 Mar 2019
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 677 29,183 0 09 Sep 2016