Few-shot Network Anomaly Detection via Cross-network Meta-learning

22 February 2021

Huan Liu

Papers citing "Few-shot Network Anomaly Detection via Cross-network Meta-learning"

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Title
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 Feb 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs Jiazhen Chen Sichao Fu Zheng Ma M. Feng T. Wirjanto Qinmu Peng 40 0 0 25 Jan 2025
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph Wenhan Jiang Tingting Chai Hongri Liu Kai Wang Hongke Zhang 39 0 0 13 Jan 2025
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
Towards Cross-domain Few-shot Graph Anomaly Detection Jiazhen Chen Sichao Fu Zhibin Zhang Zheng Ma M. Feng T. Wirjanto Qinmu Peng 28 2 0 11 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 35 6 0 16 Sep 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models Quan Li Tianxiang Zhao Lingwei Chen Junjie Xu Suhang Wang AI4CE 46 1 0 19 Jul 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 37 1 0 08 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 34 7 0 02 Jul 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models Shuo Liu Di Yao Lanting Fang Zhetao Li Wenbin Li Kaiyu Feng XiaoWen Ji Jingping Bi 43 2 0 13 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 22 1 0 03 May 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 29 1 0 25 Apr 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 33 1 0 10 Mar 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework Jinyu Cai Yunhe Zhang Zhoumin Lu Wenzhong Guo See-kiong Ng FedML 39 2 0 20 Feb 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning Jongha Lee Sunwoo Kim Kijung Shin AI4TS 43 3 0 19 Feb 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment Haihong Zhao Chenyi Zi Yang Liu Chen Zhang Yan Zhou Jia Li 36 7 0 06 Feb 2024
Graph Domain Adaptation: Challenges, Progress and Prospects Boshen Shi Yongqing Wang Fangda Guo Bingbing Xu Huawei Shen Xueqi Cheng OOD 37 5 0 01 Feb 2024
Multitask Active Learning for Graph Anomaly Detection Wenjing Chang Kay Liu Kaize Ding Philip S. Yu Jianjun Yu 42 8 0 24 Jan 2024
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Fan Xu Nan Wang Xuezhi Wen Meiqi Gao Chaoqun Guo Xibin Zhao 30 6 0 17 Nov 2023
Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine Christopher Leckie 33 3 0 12 Nov 2023
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Maoxiang Sun Weilong Ding Tianpu Zhang Zijian Liu Mengda Xing AI4TS 19 2 0 31 Oct 2023
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs Zhihao Ding Jieming Shi Qing Li Jiannong Cao 19 0 0 04 Sep 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
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection Hwan Kim Junghoon Kim Byung Suk Lee Sungsu Lim 24 0 0 21 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 18 25 0 25 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
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 37 6 0 07 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 24 4 0 05 Jun 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian Jihai Dong Jintang Li Wenlong Zhao Xiaolong Xu Baokun Wang Bowen Song Changhua Meng Tianyi Zhang Liang Chen 36 30 0 23 May 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection Rahul Kale V. Thing 19 9 0 15 Apr 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 30 0 0 15 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 25 30 0 09 Feb 2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 24 6 0 03 Jan 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine C. Leckie 24 29 0 02 Dec 2022
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction Ali Behrouz Margo Seltzer 19 19 0 15 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 20 0 0 08 Nov 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
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 28 21 0 12 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 19 66 0 29 Sep 2022
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression Haitz Sáez de Ocáriz Borde Federico Barbero 24 2 0 24 Sep 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 21 2 0 05 Aug 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 14 82 0 30 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 23 90 0 21 Jun 2022
PyGOD: A Python Library for Graph Outlier Detection Kay Liu Yingtong Dou Xueying Ding Xiyang Hu Ruitong Zhang Hao Peng Kai Shu Philip S. Yu AI4TS 22 49 0 26 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 28 11 0 29 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 22 18 0 17 Mar 2022