Abstract: This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative adaptive event-triggered ...

Dagre is a JavaScript library that makes it easy to lay out directed graphs on the client-side. For more details, including examples and configuration options, please ...

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 ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2024. Many real-world networks change dynamically but can be notoriously ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

dodgr is an R package for efficient calculation of many-to-many pairwise distances on dual-weighted directed graphs, for aggregation of flows throughout networks, and for highly realistic routing ...

Abstract: The matched filter is a crucial concept in both signal analysis and convolutional neural networks (CNNs). Previous work has addressed graph matched filtering principles for undirected graphs ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Gordon Scott has been an active investor and technical analyst or ...

The directed acyclic graph (DAG) vs. blockchain debate brings new life to the cryptocurrency industry. Ever since Satoshi Nakamoto first published the Bitcoin (BTC) white paper, distributed ledger ...