Research
Systems & InfrastructureFeb 5, 2026
PLUREL: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Jure Leskovec
Graph TransformersNov 12, 2025
Smarter Adaptive Graph Sampling for More Accurate Graph Learning
Vid Kocijan
Systems & InfrastructureNov 6, 2025
Accelerating Graph Construction for Production Graph Transformer Workloads
Josh, Min, Jinu
Graph TransformersOct 1, 2025
Large-Scale Training of Graph Transformers - and How the Kumo Training Backend Works
Zack Drach
Graph TransformersJun 17, 2025
Time Series Forecasting with Graph Transformers
Jan Eric Lenssen, Matthias Fey
Systems & InfrastructureMay 20, 2025
KumoRFM: A Foundation Model for In-Context Learning on Relational Data
Systems & InfrastructureApr 28, 2025
Speeding Up Graph Learning Models with PyG and torch.compile
Akihiro Nitta, Matthias Fey
Graph TransformersApr 28, 2025
Relational Graph Transformers: A New Frontier in AI for Relational Data
Federico, Matthias, Jure
Graph TransformersApr 22, 2025
An Introduction to Graph Transformers
Federico, Matthias, Jure
Graph TransformersFeb 5, 2025
Introduction to Relational Deep Learning (RDL)
Matthias Fey
Graph TransformersFeb 5, 2025
RelBench: A Benchmark for Deep Learning on Relational Database
Matthias Fey
Graph TransformersSep 6, 2024
Improving recommendation systems with LLMs and Graph Transformers
Zecheng, Alan, Vid, Matthias, Jure
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