PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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

A versioning data store for time-variant graph data.

tsl: a PyTorch library for processing spatiotemporal data.

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

A Temporal Networks Library written in Python

Temporal Graph Analysis with TGX

d3 plugin to create a temporal network visualization

omnikeeper is a general-purpose and highly flexible data store solution and application framework

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection

A prototype implementation of stream_graphs:

Dynamic Graph Echo State Networks

Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"

An approach to temporal graphs in functional programming

The code accompanies the paper "On Atomic Cliques in Temporal Graphs".

cloud-based, large-scale ST-GCN with OpenStreetMap features