v1v2 (latest)

Graph Data Augmentation for Graph Machine Learning: A Survey

17 February 2022

Stephan Günnemann

ArXiv (abs)PDF HTML Github (310★)

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

28 / 28 papers shown

Title
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 252 0 0 16 Mar 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 164 5 0 25 Oct 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 175 28 0 15 May 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 84 5 0 27 Mar 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 97 4 0 18 Jan 2024
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 98 17 0 01 Oct 2023
GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi Yuhong Guo 38 0 0 18 Sep 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 80 11 0 07 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 89 9 0 20 Dec 2022
A Survey of Graph Neural Networks for Social Recommender Systems Kartik Sharma Yeon-Chang Lee S. Nambi Aditya Salian Shlok Shah Sang-Wook Kim Srijan Kumar 95 106 0 08 Dec 2022
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh Chawla 109 13 0 29 Nov 2022
Link Prediction with Non-Contrastive Learning William Shiao Zhichun Guo Tong Zhao Evangelos E. Papalexakis Yozen Liu Neil Shah 109 15 0 25 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 119 36 0 05 Nov 2022
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning Jong-whi Lee Jinhong Jung 78 12 0 02 Nov 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 76 9 0 27 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 122 43 0 11 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 144 64 0 07 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 148 39 0 30 Sep 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yongqian Li OOD 73 11 0 19 Aug 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 94 111 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 79 44 0 15 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 106 85 0 06 Jun 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 125 102 0 16 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Helen Zhou 93 203 0 15 Feb 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu Wang Yuying Zhao Neil Shah Hanyu Wang 80 52 0 01 Dec 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 143 76 0 10 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 89 100 0 03 Jun 2021
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 268 1,312 0 10 Jun 2020