Multi-edge delivery promised resilience and performance, but complexity held it back. New orchestration models are turning a ...

The Detroit Lions 2025 season ended in disappointment. As they look to return to the playoffs in 2026, they first must answer ...

The Detroit Lions 2025 season ended in disappointment. As they look to return to the playoffs in 2026, they first must answer ...

The goal is to learn the network characteristics and disease dynamics of the pandemic occurred in Sweden during 2009, commonly known as swine flu. As a secondary goal, we develop an algorithm to ...

Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...

Organizations dealing with regulatory compliance and contract management face challenges: ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

Abstract: Motivated by applications in which agents need to perform collaborative tasks under limited communication, in this work we consider the asymptotic satisfaction of relative-position based ...