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

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

tsl: a PyTorch library for processing spatiotemporal data.

A versioning data store for time-variant graph data.

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

Efficient and Modular ML on Temporal Graphs

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

AI memory system combining vector search with temporal knowledge graph. Built-in cognitive engine for agents. Supports memory decay, contradiction detection, and MCP integration.

Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

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

Temporal Graph Analysis with TGX

🌟 Compiler for vertex-centric programming of GNNs/TGNNs

Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

d3 plugin to create a temporal network visualization

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

[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study

A Temporal Networks Library written in Python

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

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

[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE