Abstract: This letter proposes a novel approach for optimizing power allocation in multi-cell multi-user (MCMU) networks using a hypergraph neural network (HGNN). In MCMU networks, each base station ...

Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...

A promising PS5 action RPG is set to release next week and will include console-exclusive features for Sony's gaming system.

When it comes to e-commerce, China stands unmatched. As the country’s online retailers like Alibaba, JD.com, and Pinduoduo ...

Background: Molecular interactions are central to numerous challenges in chemistry and the life sciences. Whether in solute–solvent dissolution, adverse drug–drug interactions, or protein complex ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Traditional methods for identifying therapeutic gene targets, crucial for personalized medicine, are expensive and time-consuming. While artificial intelligence (AI), particularly deep learning ...