iakovosevdaimon/Neural-Graph-Generator
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
This project helps machine learning researchers and data scientists generate synthetic graphs that precisely match desired characteristics. You provide specifications for graph properties (like connectivity or density), and it outputs diverse graph structures that adhere to those features. This is ideal for expanding datasets or testing algorithms with custom graph types.
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Use this if you need to create diverse and controlled synthetic graphs with specific structural properties for research or training machine learning models.
Not ideal if you're looking for a simple graph visualization tool or need to analyze existing graphs without generating new ones.
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28
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4
Language
Python
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Last pushed
Mar 25, 2024
Commits (30d)
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