Metropolis-Hastings Data Augmentation for Graph Neural Networks

26 March 2022

Papers citing "Metropolis-Hastings Data Augmentation for Graph Neural Networks"

32 / 32 papers shown

Title
Graph Augmentation for Cross Graph Domain Generalization Guanzi Chen Jiying Zhang Yang Li 70 0 0 25 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 42 1 0 20 Feb 2025
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 82 1 0 19 Nov 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection Hwan Kim Junghoon Kim Sungsu Lim 29 0 0 27 Oct 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 37 0 0 13 Oct 2024
Robust Traffic Forecasting against Spatial Shift over Years Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS OOD 28 0 0 01 Oct 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Lu Li Shuyan Wan Sijie Wang Zhiyi Wang Zhiyuan Lu Dong Hao Wanli Li 33 2 0 29 Sep 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 50 3 0 04 Jun 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng Hongzhi Wang Xianglong Liu 55 3 0 02 May 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 44 14 0 01 Apr 2024
Graphs Generalization under Distribution Shifts Qin Tian Wenjun Wang Chen Zhao Minglai Shao Wang Zhang Dong Li OOD 32 2 0 25 Mar 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh V. Chawla AI4CE 18 3 0 15 Feb 2024
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Y. Zou J. Leskovec OOD 16 3 0 07 Dec 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks Zeyu Zhang Shuyan Wan Sijie Wang Xianda Zheng Xinrui Zhang Kaiqi Zhao Jiamou Liu Dong Hao 16 1 0 15 Oct 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction Ruitian Ding Jielong Yang Feng Ji Xionghu Zhong Linbo Xie 34 1 0 18 Aug 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting Sitan Yang Malcolm Wolff S. Ramasubramanian Vincent Quenneville-Belair Ronak Metha Michael W. Mahoney AI4TS AI4CE 21 1 0 07 Jul 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications Xinyu Ma Xu Chu Yasha Wang Yang Lin Junfeng Zhao Liantao Ma Wenwu Zhu 27 6 0 28 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran H. Zhao Qiu Qiang Pan Li OOD AI4CE 19 33 0 05 Jun 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 21 4 0 22 May 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 33 4 0 25 Oct 2022
DAGAD: Data Augmentation for Graph Anomaly Detection Fanzhen Liu Xiaoxiao Ma Jia Wu Jian Yang Shan Xue Amin Beheshti Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal 31 43 0 18 Oct 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 25 2 0 14 Sep 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng-Long Jiang OOD 17 82 0 06 Jun 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 30 79 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 19 218 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 21 96 0 16 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 19 192 0 15 Feb 2022
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 45 52 0 05 Nov 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 28 93 0 03 Jun 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 172 1,778 0 02 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016