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awesome-gnn4ts

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

cdg

Change Detection in a sequence of Graphs

developer-roadmap

Roadmap to becoming a developer in 2022

dtaad

Code support as a published paper！

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

gta

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

mape-k-experiment

MAPE-K loop on HA Proxy and Microservice

microservice-mallmanagement

微服务架构商城管理测试项目

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

multivariate-time-series-data

notes-highperformancelinuxserverprogramming

Linux高性能服务器编程(作者 游双) 读书笔记和Demo

omnianomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

sdn-qos

基于SDN的QoS差异化服务系统

service-mesh-self-protection

This repository helps us to share our source code for the research paper "Toward Enabling Self-Protection Ability to Service Mesh Layer in Microservice Architecture".

spoon-knife

This repo is for demonstration purposes only.

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

trust-cluster

usad