TuGraph-family/TuGraph-AntGraphLearning
Ant Graph Learning (AGL) provides a comprehensive solution for graph learning tasks at an industrial scale.
This system helps data scientists and machine learning engineers analyze extremely large and complex graph datasets, such as those found in social networks, financial transactions, or biological pathways. It takes raw graph data (nodes and connections) and outputs insights like predicted relationships, classifications of entities, or general representations of the graph structure. It's designed for professionals building industrial-scale AI applications.
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Use this if you need to perform advanced machine learning tasks like node classification or link prediction on massive, real-world graph data efficiently and at scale.
Not ideal if your graph datasets are small or you are looking for a simple, single-machine solution for basic graph analysis.
Stars
92
Forks
9
Language
Java
License
Apache-2.0
Category
Last pushed
Jan 12, 2024
Commits (30d)
0
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