Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Abstract: Accurate sleep staging for patients with sleep disorders requires the integration of multiple channels and various signal modalities. While graph convolutional networks (GCNs) have ...
Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...
Feb. 2 (UPI) --A network of environmental organizations warned about environmental and social risks two megatourism projects promoted by Royal Caribbean could generate on the island of Cozumel and in ...
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 ...
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