Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Learn how to create dynamic, animated graphs in GlowScript using VPython with ease! 📊 This step-by-step tutorial guides you through visualizing data, animating simulations, and mastering interactive ...

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) ...

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 ...

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 ...

Abstract: Missing node attributes pose a common problem in real-world graphs, impacting the performance of graph neural networks’ representation learning. Existing GNNs often struggle to effectively ...