Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

With a sub-$1,000 price, exceptional quality, and innovative resin management features, the Anycubic Photon Mono M7 Max is a ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.

Nov. 20, 2019 Te size-Ramsey number of a path presented by Louis DeBiasio, Ph.D., Miami University Abstract: Given a graph H, the size-Ramsey number of H is the minimum m such that there exists a ...

The dual embedding learning module can be divided into three steps. An edge-enhanced GCN is applied to the line graph for edge embedding. Secondly, a GCN with residual connections is applied to the ...

Keywords: brain network, graph theory, neuroimaging, bibliometric analysis, research trends Citation: Mamat M, Wang Z, Jin L, He K, Li L and Chen Y (2024) Corrigendum: Beyond nodes and edges: a ...