daiquocnguyen/QGNN
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
This project helps researchers and data scientists analyze complex relationships within knowledge graphs or other network-structured data. By taking your graph data as input, it enhances the way connections are understood, producing more accurate insights for tasks like predicting missing links or classifying nodes and entire graphs. It is designed for those working with relational data and seeking advanced methods to extract deeper meaning.
No commits in the last 6 months.
Use this if you are a researcher or data scientist working with complex networks, like knowledge graphs, and need to improve predictions about relationships or classifications within your data.
Not ideal if you are looking for a simple, off-the-shelf solution for basic tabular data analysis or have no experience with advanced machine learning concepts.
Stars
51
Forks
7
Language
Python
License
MIT
Category
Last pushed
Dec 25, 2021
Commits (30d)
0
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