About the project

The MoS-T project aims to discover and visualize frequent spatio-temporal patterns in large graphs. The goal is to develop innovative methods combining graph mining and deep neural networks to extract meaningful patterns and provide synthetic, interpretable representations.

Comic page 1
New

The project in comics

Discover the MoS-T project through a scientific outreach comic strip.

Discover in comics

Keywords

Time series Spatio-temporal data Graphs Graph neural networks GNN Deep learning Prediction Classification

Project timeline

2021

Project kickoff

2022

First developments

2023

First results, publications

2024

GNN developments, conferences

2025

Application validation, datasets

2026

Finalization, dissemination