Among the costs are £27m to be spent over the next three years to establish a “Teacher Professional Learning Fund” as well as £20m secured through the Shared Island Initiative to target ...

Abstract: Structured proximity matrix learning, one of the mainstream directions in clustering ... To solve the above problem, inspired by the anchor bipartite graph, we present a novel high-order ...

Google on Tuesday unleashed another wave of artificial intelligence technology to accelerate a year-old makeover of its search engine that is changing the way people get information and curtailing ...

To overcome this problem, we introduce a novel heterogeneous graph neural network (HeBrainGNN) for multimodal brain neuroimaging fusion learning. HeBrainGNN first conceptualizes the brain network as a ...

This repository contains code to the paper Self-Supervised Graph Representation Learning for Neuronal Morphologies by M.A. Weis, L. Hansel, T. Lüddecke and A.S. Ecker (2023). The training of GraphDINO ...

In addition, by accurately predicting the required communication output for satellite components, custom designs can be made, which will help reduce unnecessary costs and shorten the development ...