snash4/GAT2VEC
embedding attributed graphs
This tool helps researchers and data scientists represent complex networks, like social connections or biological pathways, as numerical vectors. It takes in structured network data (like adjacency lists) and associated descriptive attributes, then outputs numerical embeddings for each node in the network. These embeddings can then be used for tasks like predicting node properties or classifying network components.
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Use this if you need to transform complex network data with node attributes into a machine-readable format for further analysis or machine learning tasks.
Not ideal if your network data does not have associated attributes or if you are looking for a simple visualization tool rather than a representation learning framework.
Stars
57
Forks
24
Language
Python
License
GPL-2.0
Category
Last pushed
Dec 07, 2021
Commits (30d)
0
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