HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
GitHub

Virtual Node Graph Neural Network for Full Phonon Prediction

This repository provides the implementation of the Virtual Node Graph Neural Network (VGNN) for full phonon prediction in materials science. VGNN is designed to address the challenges in phonon ...
InfoWorld

How to build a neural network in Java

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...
IEEE

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks

Abstract: Mapping the connectome of the human brain using structural or functional connectivity has become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph Neural ...
IEEE

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

Abstract: Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially represented as graphs (e.g., chemistry, biology, and recommendation systems). In this vein ...