Santa Fe Institute

Do deep learning models recognize 3D shapes in the same way humans do?

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...
IEEE

Novel Dual-Stream Fusion Graph Convolutional Network for Industrial process Fault Diagnosis

Abstract: Fault diagnosis for high-dimensional industrial process data with strong nonlinear coupling remains challenging. Most existing graph convolutional network–based methods rely on static or ...
Sports Illustrated

Projecting Pitt's 2026 Two-Deep Depth Chart

PITTSBURGH — The Pitt Panthers will kick off the 2026 season in almost seven months from now. That means this is a good time to look at the potential starting roster heading into the spring semester.
EurekAlert!

Chongqing Medical University team: dual-branch graph attention network enables personalized prediction of ECT efficacy in adolescent depression

Major depressive disorder (MDD) poses a global health challenge, particularly among adolescents, where it is characterized by high recurrence and suicide rates. While electroconvulsive therapy (ECT) ...
Frontiers

DEG-BRIN-GCN: interpretable graph convolutional framework with differentially expressed genes brain region interaction network prior for AD diagnosis

Due to the intricate dynamic coupling between molecular networks and brain regions, early diagnosis and pathological mechanism analysis of Alzheimer's disease (AD) remain highly challenging. To ...
Frontiers

RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...