tapadeep/PBGENA
Parallelized Binary embedding GENerator for Attributed graphs
This tool helps researchers and analysts quickly convert complex networks (like social networks or citation graphs) with associated information into a compact, numerical format called binary embeddings. These embeddings can then be used to predict connections or classify nodes within the network. It takes in large attributed graphs and outputs binary embedding files, offering a super-fast way to prepare data for graph analysis tasks.
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Use this if you need to rapidly generate high-quality binary embeddings for very large attributed graphs to perform tasks like identifying communities or predicting relationships.
Not ideal if your networks are small or if you require non-binary, dense embeddings for tasks that leverage continuous numerical properties more directly.
Stars
15
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Language
Python
License
MIT
Category
Last pushed
Jul 21, 2022
Commits (30d)
0
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