Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Probably the most important reason for building knowledge graphs has been to answer this age-old question: “What is going to happen next?” Given the data, relationships, and timelines we know about a ...

As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

TigerGraph, the fast graph analytics platform for the enterprise, introduced TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. Users can ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...