Mining and visualization of frequent Spatio-Temporal Motifs in a large graph
ANR Project (Oct. 2021 – June 2026) (opens in new window)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.
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Discover in comicsKeywords
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