论文解读-Multi-scale Anomaly Detection on Attributed Networks
原文：Gutiérrez-Gómez, Leonardo, Bovet A , Delvenne J C . Multi-scale Anomaly Detection on Attributed Networks[J]. 2019. 摘要 当前属性网络在很多领域中得到广泛应用，尤其是社交网络和金融领域，属性网络的边表示实体之间的关系，而实体则由属性网络中的不同节点属性来表示。而异常检测对于发现诸
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相关文章
- 1. 论文译文《ANOMALY DETECTION WITH GENERATIVE ADVERSARIAL NETWORKS》
- 2. Deep Anomaly Detection with Deviation Networks 论文笔记
- 3. 论文速读:Attribute Restoration Framework for Anomaly Detection
- 4. 【论文速读】DEEP SEMI-SUPERVISED ANOMALY DETECTION
- 5. 论文解读：Relation Networks for Object Detection
- 6. (2015)Anomaly detection in dynamic networks : a survey 论文笔记
- 7. 《A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex》
- 8. 论文笔记：Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
- 9. 论文阅读-《Relation Networks for Object Detection》
- 10. (2015)Graph-based Anomaly Detection and Description : A survey 论文笔记