Research Overview
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 relational deep learning, 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.