Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
GitHub

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
GitHub

Graph Exchange File Format

GEFF is a specification for a file format for exchanging spatial graph data. It is not intended to be mutable, editable, chunked, or optimized for use in an application setting.
IEEE

AGSEI: Adaptive Graph Structure Estimation With Long-Tail Distributed Implicit Graphs

Abstract: Empowered by their remarkable advantages, graph neural networks (GNN) serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, ...
The New York Times

Compass Acquires Top Rival, Creating World’s Largest Brokerage

First signed into agreement in September 2025, the merger brings together the largest and second-largest real estate firms in the United States. By Dorie Chevlen Compass Inc. announced on Friday the ...