pathpy/pathpyG
GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
This tool helps researchers and data scientists analyze complex, time-evolving relationships within their data. It takes your raw time series data, which describes how entities interact over time, and converts it into advanced network models. The output helps you understand underlying causal structures and predict future network behavior, especially useful for those working with dynamic systems.
Use this if you need to analyze how interactions in a system change over time and want to uncover deeper causal connections beyond simple static networks.
Not ideal if your data doesn't involve temporal sequences or if you only need basic, static network analysis without considering time dynamics.
Stars
55
Forks
6
Language
Python
License
AGPL-3.0
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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