Computer scientists at ETH Zurich have developed a digital tool capable of searching through millions of published DNA ...
News from the week beginning 29th September includes items from @Agiloft, @Azul, @BerkeleySkydeck, @Deltek, @Ultimo, @Kantata, @Planful, @ThompsonReuters, @VertiGIS, @Workday, and @Zoho ...
Notifications You must be signed in to change notification settings C Implementation of Dijkstra's Shortest Path Algorithm This document provides a detailed analysis of a standard C implementation of ...
Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...
Abstract: This article proposes a machine-learning (ML) method to accelerate atomic-level device simulation. The main idea is to utilize graph convolutional network (GCN) to predict the potential ...
Abstract: Predicting protein-ligand binding affinities is a critical problem in drug discovery and design. A majority of existing methods fail to accurately characterize and exploit the geometrically ...
The GA-Graphormer framework with unified EEG representation for cross-topology emotion recognition. (A) Different EEG montages and the unified channel-masked graph representation for the DEAP, DREAMER ...
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
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