Jhy1993/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
This is a collection of research papers and tutorials focused on analyzing and understanding complex, interconnected data. It helps researchers and data scientists working with diverse datasets where different types of information are linked together (like people, organizations, and events). The project takes in various interconnected data points and provides methods to derive meaningful insights and predictions.
443 stars. No commits in the last 6 months.
Use this if you are a researcher or data scientist developing models to understand relationships and make predictions within complex datasets that contain multiple types of entities and connections.
Not ideal if you are looking for an off-the-shelf software tool or a simple library for basic data analysis, as this project is a compilation of advanced research.
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Mar 13, 2020
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