HKUDS/OpenGraph
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
OpenGraph helps machine learning practitioners who work with complex, interconnected data analyze unseen graph structures. It takes in various graph datasets and uses a large language model to enhance data, then processes them to output predictions for tasks like identifying missing connections or classifying nodes, even when the data is scarce. This tool is for researchers and data scientists specializing in graph machine learning.
330 stars. No commits in the last 6 months.
Use this if you need to apply graph machine learning models to diverse, potentially new graph datasets without extensive retraining, particularly when data is limited.
Not ideal if you are looking for a plug-and-play solution without any programming or deep learning expertise.
Stars
330
Forks
36
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 11, 2024
Commits (30d)
0
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