Stacked graphene sandwich reveals switchable memory without traditional ferroelectrics

A research team led by Professor Youngwook Kim from the Department of Physics and Chemistry, DGIST, in collaboration with the ...
IEEE

BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data

Abstract: Alzheimer's disease (AD) is a highly inheritable neurological disorder, and brain imaging genetics (BIG) has become a rapidly advancing field for comprehensive understanding its pathogenesis ...

Framework sets new benchmarks for 3D atom maps in amorphous materials

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...
Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
IEEE

Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition

Abstract: Multimodal emotion recognition in conversation (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they fail to fully harness ...