GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction

21 June 2021

Lirong Wu

Haitao Lin

Zhangyang Gao

Cheng Tan

Stan. Z. Li

SSL

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Papers citing "GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction"

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Title
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yangyi Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 74 3 0 12 Feb 2025
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification Zahiriddin Rustamov Abderrahmane Lakas Nazar Zaki 78 0 0 20 Dec 2024
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 53 2 0 25 Oct 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 28 0 0 09 Sep 2024
Graffin: Stand for Tails in Imbalanced Node Classification Xiaorui Qi Yanlong Wen Xiaojie Yuan 23 0 0 09 Sep 2024
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 42 2 0 28 Jul 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 35 0 07 Mar 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction Lirong Wu Yufei Huang Cheng Tan Zhangyang Gao Bozhen Hu Haitao Lin Zicheng Liu Stan Z. Li 27 11 0 13 Feb 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 34 11 0 20 Dec 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation Jiaxing Zhang Dongsheng Luo Huazhou Wei 23 20 0 15 Jul 2023
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning Cheng Tan Siyuan Li Zhangyang Gao Wen-Cai Guan Zedong Wang Zicheng Liu Lirong Wu Stan Z. Li AI4TS 43 57 0 20 Jun 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 19 25 0 09 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 35 6 0 05 Jun 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration Haitao Lin Yufei Huang Haotian Zhang Lirong Wu Siyuan Li Zhiyuan Chen Stan Z. Li DiffM 19 23 0 30 May 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu Haitao Lin Yufei Huang Tianyu Fan Stan Z. Li 21 29 0 18 May 2023
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization Haohui Wang Baoyu Jing Kaize Ding Yada Zhu Wei Cheng Si Zhang Yonghui Fan Liqing Zhang Dawei Zhou 50 6 0 17 May 2023
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation Yu Tian Mingjie Zhu Jiachi Luo Song Li 29 0 0 12 Apr 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu Yun Luo Lirong Wu Zicheng Liu Stan Z. Li AAML 27 25 0 29 Mar 2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection Xinxin Hu Haotian Chen Hongchang Chen Shuxin Liu Xing Li Shibo Zhang Yahui Wang Xiangyang Xue GNN 19 17 0 28 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu Zhen Wang K. Liang Wenxuan Tu Liangjun Li Jingcan Duan Cancan Chen 33 101 0 16 Dec 2022
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction Yuxing Tian Zheng Liu Yanwen Qu Song Li Jiachi Luo AI4CE 22 0 0 27 Oct 2022
Imbalanced Node Processing Method in Graph Neural Network Classification Task Min Liu Siwen Jin Luo Jin Shuohan Wang Yu Fang Yuliang Shi 16 0 0 18 Sep 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 25 6 0 10 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 42 26 0 06 Jun 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 39 25 0 20 May 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 218 0 16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OOD CML 27 97 0 16 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 32 6 0 15 Feb 2022