Abstract: We present a novel form of Fourier analysis, and associated signal processing concepts, for signals (or data) indexed by edge-weighted directed acyclic graphs (DAGs). This means that our ...

Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...

School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China Key Laboratory of Synthetical Automation for Process Industries at ...

In the crypto world, early-stage projects often take years to gain real traction, but BlockDAG (BDAG) is moving at a different pace. It already has over 200,000 coin holders, more than 2.5 million ...

New artificial intelligence tools are rapidly transforming how economists and policy analysts conduct research, dissect data, and communicate findings. Rather than replacing traditional research ...

Abstract: A directed acyclic graph (DAG) is a common topology in biological, engineering, and social networks. A network topology is critical in determining a collective behavior of a network dynamic ...

This presents a set-based topological sorting algorithm for directed acyclic graphs (DAG). Unlike traditional algorithms that produce a linear order of nodes, it yields a linear sequence of sets of ...

A next-generation algorithmic trading framework that leverages graph-based workflow architecture, ensemble technical analysis, and AI language models to make data-driven cryptocurrency trading ...

Fantom, a blockchain that uses Directed Acyclic Graph (DAG) technology to provide DeFi services, is migrating to a new network called Sonic. The announcement of this upgrade made the price of the FTM ...