Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...

Japanese battery innovators are racing to solve the slow‑charging bottleneck that still frustrates drivers and device makers, and a new 3D graphene architecture is emerging as one of their boldest ...

A central goal of topological photonics has been to develop compact isolators using protected, non-reciprocal edge states. A recent demonstration of a ferrite-based microwave isolator leverages the ...

You can do a lot to take care of yourself and give your body what it needs. Still, as you get older, your body changes in ways you can't always control. For most men, one of those changes is that the ...

Explains how Section 65 assessments operate, the conditions for valid invocation, and why strict compliance with procedure and natural justice is ...