Anomaly Detection using Graph Neural Networks-Reference-Cited by-同舟云学术

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Anomaly Detection using Graph Neural Networks

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
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Author:

Chaudhary Anshika,Mittal Himangi,Arora Anuja

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8851231/8862171/08862186.pdf?arnumber=8862186

Cited by 72 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems;Future Generation Computer Systems;2024-11

2. Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection;IEEE Transactions on Neural Networks and Learning Systems;2024-09

3. Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN;Digital Communications and Networks;2024-08

4. Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning;Proceedings of the 36th International Conference on Scientific and Statistical Database Management;2024-07-10

5. Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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