Explore a big, free library of graph data for better models
Want to test or build models that learn from networks? A new collection makes that simple and fast.
The collection contains 120+ datasets from many real problems, so you can try ideas on small and bigger examples.
It also offers example code, easy loaders and ready-to-run baselines so experiments are not stuck in setup hell.
The goal is clear: fair comparison, easier progress, more people joining the field.
The site and code are open, so results can be repeated and shared without fuss.
Researchers, students and curious hobbyists will find this helpful; it help teams compare methods on the same ground.
Try repeating an experiment, or use the data to teach, test, or explore new ideas.
This makes work more honest and faster to build on.
If you care about clear tests and open tools, this collection gives easy tools and open code for real work and learning.
Jump in and see what new ideas appear.
Read article comprehensive review in Paperium.net:
TUDataset: A collection of benchmark datasets for learning with graphs
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
Top comments (0)