Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A unified framework for machine learning with time series

TGN: Temporal Graph Networks

RNN based Time-series Anomaly detector model implemented in Pytorch.

Flexible time series feature extraction & processing

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

Collection of LaTeX resources and examples.

Modern Time Series Forecasting with Python, published by Packt

Repository for benchmarking graph neural networks

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.

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

Interactively inspect module inputs, outputs, parameters, and gradients.

Deep Graph Outlier Detection

Python package built to ease deep learning on graph, on top of existing DL frameworks.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

A Python Library for Graph Outlier Detection (Anomaly Detection)

A library for graph deep learning research

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Bayesian Reduction for Amplified Quantization in Umap Embedding

torch-optimizer -- collection of optimizers for Pytorch

starter from "How to Train a GAN?" at NIPS2016

Making the community's best AI chat models available to everyone.

NetF, an alternative set of features, incorporating several representative topological measures of different complex networks mappings of the time series.

An R package to transform time series into networks

Time series to visibility graphs.

Anomaly detection related books, papers, videos, and toolboxes

List of tools & datasets for anomaly detection on time-series data.

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.