Graph-Learning-Benchmarks/gli
🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!
The Graph Learning Indexer (GLI) helps researchers and practitioners in machine learning efficiently access and work with graph-structured datasets for various tasks like node classification or link prediction. It provides a standardized way to load diverse graph datasets, making it easier to compare and benchmark different graph learning models. GLI is ideal for data scientists, machine learning engineers, and researchers who regularly work with graph data.
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Use this if you need to quickly load and experiment with a variety of graph datasets for machine learning tasks without dealing with complex data preparation or inconsistent data formats.
Not ideal if you are looking for a general-purpose graph database or a tool primarily focused on graph visualization or analysis rather than machine learning.
Stars
43
Forks
20
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2024
Commits (30d)
0
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