GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

16 March 2021

Papers citing "GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks"

43 / 43 papers shown

Title
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Enjun Du Xunkai Li Tian Jin Zhihan Zhang R. Li Guoren Wang 38 0 0 01 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 43 0 0 31 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 86 1 0 06 Mar 2025
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 27 0 0 17 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 105 0 0 10 Feb 2025
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications Ziming Zhao Tiehua Zhang Zijian Yi Zhishu Shen 26 0 0 09 Sep 2024
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks Mahdi Mohammadizadeh Arash Mozhdehi Yani Andrew Ioannou Xin Wang 39 1 0 24 Jun 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
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 44 11 0 28 Oct 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
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 28 76 0 01 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 26 10 0 03 Jul 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 22 24 0 16 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 30 30 0 31 May 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Jiawei Sheng Chuan Zhou Tingwen Liu 35 0 0 20 Apr 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 27 1 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 29 0 0 24 Mar 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 8 19 0 24 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 41 10 0 03 Feb 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
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
ReGrAt: Regularization in Graphs using Attention to handle class imbalance Neeraja Kirtane Jeshuren Chelladurai B. Ravindran Ashish V. Tendulkar 14 0 0 27 Nov 2022
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels Jiho Choi Junghoon Park Woocheol Kim Jin-Hyeok Park Yumin Suh Minchang Sung 21 2 0 16 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova Emiliano Penaloza María Óskarsdóttir Hernán García Alejandro Correa-Bahnsen Bart Baesens M. Snoeck Cristián Bravo GNN 28 5 0 15 Nov 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 34 39 0 22 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 33 35 0 24 Jul 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 31 52 0 26 Jun 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 52 18 0 27 May 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 35 35 0 23 Feb 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 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 21 218 0 16 Feb 2022
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification Xiaohe Li Lijie Wen Yawen Deng Fuli Feng Xuming Hu Lei Wang Zide Fan 27 21 0 05 Feb 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels Enyan Dai Wei-dong Jin Hui Liu Suhang Wang NoLa 33 92 0 01 Jan 2022
Node-wise Hardware Trojan Detection Based on Graph Learning Kento Hasegawa Kazuki Yamashita Seira Hidano Kazuhide Fukushima Kazuo Hashimoto N. Togawa 19 24 0 04 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
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 13 22 0 22 Oct 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 27 84 0 26 Aug 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan. Z. Li SSL 6 46 0 21 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021