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Large scale graph compression and summarization tool built on Memgraph.

Project description

➡️Squashy⬅️

Large scale graph compression and summarization tool for research and analysis.

Note on suitability for use

➡️Squashy⬅️ is relatively new. It was developed for one of my own academic research projects. The principles behind it are based on published research, however the implementation is my own. I think it works well, however it could do with more testing

What does it do?

At some point the key tools of network analysis struggle with scale. Beyond a few hundred nodes, graphs become too dense to visualise. Nodes too numerous to detect communities.

This can become even more of an issue in a research context, where you often want to run analysis multiple times, tweak settings or actually see your data.

➡️Squashy⬅️can compress graphs made up of millions of nodes and edges into a graph of a few hundred nodes that retains the overall structure.

How does it work?

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  • Download URL: squashy-0.1.1-py3-none-any.whl
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  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.1 CPython/3.8.11 Darwin/22.4.0

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