一是不同传感器之间有着非常不同的行为,即图中节点的数值和分布差异很大,因此需要考虑如何对传感器,即图中节点进行特征表示;二是GNNs的输入必须是整个图,即包括图中节点的特征表示以及各节点的连接关系,而在本文场景中,各节点之间的关系都是未知的(以往的方法是直接认为各节点之间都存在关系,即使用完全图表征各节点...
论文链接:[2106.06947v1] Graph Neural Network-Based Anomaly Detection in Multivariate Time Series (arxiv.org) 主要内容 论文提出了一种图偏差网络(GDN)框架用于多元时间序列异常检测,该框架可以实验对一个系统中各个传感器之间的结构关系的建模,传感器异常检测以及异常传感器的定位等,通过两个水处理厂的数据集进行...
Graph neural network-based anomaly detection for human cyber physical systemsChengwen XueLimei LinYanze HuangXiaoding Wang
GraphBEAN is a graph convolutional network designed by Grab for anomaly detection. This powerful model is able to handle heterogeneous data, thereby capturing data of different types from the nodes and edges. This article went through the six steps to building a link prediction GCN mo...
内容提示: Graph Neural Network-Based Anomaly Detection in Multivariate Time SeriesAilin Deng, Bryan HooiNational University of Singaporeailin@comp.nus.edu.sg, bhooi@comp.nus.edu.sgAbstractGiven high-dimensional time series data (e.g., sensor data),how can we detect anomalous events, such as ...
[1] A. Deng and B. Hooi, “Graph neural network-based anomaly detection in multivariate time series,” in Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021. See Also How to Get Best Site Performance Select the China site (in Chinese or English) for best ...
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System 介绍 总之,本文的主要贡献有两个: • 我们提出并实现了 E-GraphSAGE,它是 GraphSAGE 的扩展,它允许结合边缘特征/属性进行图表示学习。 这一
In this work, we propose one-class graph neural network (OCGNN), a one-class classification framework for graph anomaly detection. OCGNN is designed to combine the powerful representation ability of graph neural networks along with the classical one-class objective. Compared with other baselines, ...
Code implementation for :Graph Neural Network-Based Anomaly Detection in Multivariate Time Series(AAAI'21) Installation Python >= 3.6 cuda == 10.2 Pytorch==1.5.1 PyG: torch-geometric==1.5.0 Install packages # run after installing correct Pytorch package bash install.sh ...
Xiao et al. [11] proposed a graph embedding approach to perform anomaly detection on network flows. The authors first converted the network flows into a first-order and secondorder graph. The first-order graph learns the latent features from the perspective of a single host by using its IP ...