harryjo97/GDSS
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
This project helps researchers and scientists generate new graph structures, such as chemical molecules or social network configurations, for various experimental purposes. You provide existing graph datasets, and the system learns their underlying patterns to produce novel, similar graphs, complete with both node features and connections. It's designed for machine learning researchers or computational chemists working with graph data.
186 stars. No commits in the last 6 months.
Use this if you need to create realistic, synthetic graph data, like new molecular structures or small-scale network topologies, for research, simulation, or dataset augmentation.
Not ideal if you're looking for a user-friendly application for direct data analysis or visualization, or if you don't have experience with machine learning model training.
Stars
186
Forks
27
Language
Python
License
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Category
Last pushed
Nov 16, 2023
Commits (30d)
0
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