ULTRA: Foundation Models for Knowledge Graph Reasoning

What’s new in Graph ML?

One model to rule them all

Training a single generic model for solving arbitrary datasets is always a dream for ML researchers, especially in the era of foundation models. While such dreams have been realized in perception domains like images or natural languages, whether they can be reproduced in reasoning domains (like graphs) remains an open challenge.

In this blog post, we prove such a …

artificial intelligence datasets domains foundation graph graph-machine-learning images knowledge knowledge graph languages machine learning natural one model perception reasoning researchers them thoughts-and-theory