Research Overview | NVIDIA Structured Data and Graph Models

Kumo Research advances machine learning for relational and graph-structured data. Explore practical guides, papers, and systems work from Kumo and the broader graph-learning community.

Explore the collection by area:

Concepts & Models

Learn the foundations of Predict, GNNs, graph transformers, and relational foundation models.

Data & Benchmarks

Explore relational learning benchmarks and synthetic relational data for model research.

Applications

See how relational and graph learning support recommendations, forecasting, and churn prediction.

Engineering Guides

Build and optimize graph learning systems with PyG, efficient graph construction, and adaptive sampling.