A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions

26 August 2023

Bryan Hooi

Papers citing "A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions"

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Title
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 71 11 0 28 Oct 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 61 15 0 07 Feb 2023
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection Zhuang Zhong Kai Ming Ting Guansong Pang Shuaibin Song 42 8 0 17 Jan 2023
DAGAD: Data Augmentation for Graph Anomaly Detection Fanzhen Liu Xiaoxiao Ma Hongzhi Zhang Jian Yang Shan Xue Amin Beheshti Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal 35 45 0 18 Oct 2022
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion Han Wu Jie Yin B. Rajaratnam Jianyuan Guo 126 9 0 02 Sep 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 83 41 0 22 Aug 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jae-gyun Song Joonhyung Park Eunho Yang 52 54 0 26 Jun 2022
On Structural Explanation of Bias in Graph Neural Networks Yushun Dong Song Wang Yu Wang Hanyu Wang Jundong Li 59 24 0 24 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 77 5 0 08 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 50 83 0 07 Jun 2022
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection Xu Chen Qiu Qiu Changshan Li Kunqing Xie AI4TS 76 13 0 23 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 33 48 0 10 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Yin Hua Wen Zhang Zhen Yao Xian-gan Chen Mengxiao Ding Fei Huang Huajun Chen FedML 55 27 0 10 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Jiajun He Austin Tripp José Miguel Hernández-Lobato 42 23 0 05 May 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization Ahmed Abouzeid Ole-Christoffer Granmo C. Webersik Morten Goodwin 50 5 0 23 Mar 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 41 42 0 23 Feb 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 68 32 0 20 Jan 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 63 60 0 23 Dec 2021
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 26 107 0 10 Dec 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 65 82 0 29 Jun 2021
Zero-shot Node Classification with Decomposed Graph Prototype Network Zheng Wang Jialong Wang Yuchen Guo Zhiguo Gong 34 36 0 15 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 71 549 0 14 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 44 860 0 13 Jun 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 91 327 0 16 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 82 299 0 27 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 143 173 0 16 Feb 2021
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach Minji Yoon Bryan Hooi Kijung Shin Christos Faloutsos 32 75 0 26 Nov 2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams Yen-Yu Chang Pan Li R. Sosič M. Afifi M. Schweighauser J. Leskovec 34 51 0 09 Nov 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion Shuaiyi Nie Shu Guo Zhenyu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xu 127 116 0 19 Oct 2020
Multivariate Time-series Anomaly Detection via Graph Attention Network Hang Zhao Yujing Wang Juanyong Duan Congrui Huang Defu Cao Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 24 430 0 04 Sep 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 30 55 0 07 Jul 2020
Degree-Aware Alignment for Entities in Tail Weixin Zeng Xiang Zhao Wei Wang Jiuyang Tang Zhen Tan 97 67 0 25 May 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs Lei Cai Zhengzhang Chen Chen Luo Jiaping Gui Jingchao Ni Ding Li Haifeng Chen 37 125 0 15 May 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 72 1,927 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 296 1,950 0 11 Apr 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl T. D. Bie FaML CML 33 77 0 26 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 284 1,961 0 02 Feb 2020
Few-Shot Knowledge Graph Completion Chuxu Zhang Huaxiu Yao Chao Huang Meng Jiang Z. Li Nitesh Chawla 46 199 0 26 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks Xiaoya Li Xiaofei Sun Yuxian Meng Junjun Liang Leilei Gan Jiwei Li 78 575 0 07 Nov 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion Zihao Wang K. Lai Piji Li Lidong Bing W. Lam 42 33 0 25 Sep 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations Xin Lv Yuxian Gu Xu Han Lei Hou Juan-Zi Li Zhiyuan Liu LRM 67 87 0 30 Aug 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 93 196 0 05 Jun 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 69 1,073 0 11 May 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 110 1,486 0 10 Jan 2019
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information Shikhar Vashishth Rishabh Joshi Sai Suman Prayaga Chiranjib Bhattacharyya Partha P. Talukdar 54 229 0 11 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 153 7,554 0 01 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 314 19,991 0 30 Oct 2017
Spectrum-based deep neural networks for fraud detection Shuhan Yuan Xintao Wu Jun Yu Li Aidong Lu GNN 41 37 0 03 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 439 28,901 0 09 Sep 2016