Data Augmentation for Deep Graph Learning: A Survey

16 February 2022

Huan Liu

Papers citing "Data Augmentation for Deep Graph Learning: A Survey"

30 / 30 papers shown

Title
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin Abubakar Isah I. Aliyu Sulaiman Muhammad Rashid Jaehyung Park Minsoo Hahn Jinsul Kim 0 0 0 17 Feb 2025
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 30 0 0 13 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 26 0 0 18 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 35 0 0 31 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 27 10 0 31 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 29 7 0 22 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 27 8 0 19 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 92 19 0 15 May 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 35 4 0 18 Jan 2024
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 28 1 0 28 Aug 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 28 22 0 18 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 21 0 0 24 Mar 2023
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 25 0 11 Dec 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 21 20 0 12 Nov 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging N. Shehata Wulfie Bain Ben Glocker 24 2 0 29 Oct 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 25 7 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 24 0 0 26 Oct 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 21 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 24 41 0 15 Jun 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 18 1 0 27 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue Chunhui Zhang Chuxu Zhang Hongfu Liu 27 31 0 19 May 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 43 21 0 24 Jan 2022
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 60 203 0 05 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 25 47 0 01 Dec 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 48 0 10 Nov 2021
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation Cole Hawkins V. Ioannidis Soji Adeshina George Karypis GNN SSL 21 2 0 12 Oct 2021
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
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 184 878 0 07 Jun 2018