A Comprehensive Introduction to Graph Neural Networks (GNNs)
Jul 21, 2022 · Learn everything about Graph Neural Networks, including what GNNs are, the different types of graph neural networks, and what they're used for. Plus, learn how to build a …
Tutorial 7: Graph Neural Networks - Read the Docs
In this tutorial, we will discuss the application of neural networks on graphs. Graph Neural Networks (GNNs) have recently gained increasing popularity in both applications and …
Graph Neural Networks: An In-Depth Introduction and Practical ...
Jul 23, 2025 · Unlike traditional neural networks that operate on Euclidean data (like images or text), GNNs are tailored to handle non-Euclidean data structures, making them highly versatile …
A Gentle Introduction to Graph Neural Networks - Distill
Sep 2, 2021 · Neural networks have been adapted to leverage the structure and properties of graphs. We explore the components needed for building a graph neural network - and …
Introduction to Graph Neural Networks | MYRIAD
Mar 24, 2025 · Unlike the Euclidean grid-like structure of images, graphs can capture arbitrary patterns of connectivity, making them ideal for modeling social networks, transportation …
Graph Neural Networks with PyTorch Geometric
Introduction This notebook teaches the reader how to build and train Graph Neural Networks (GNNs) with Pytorch Geometric (PyG). The first portion walks through a simple GNN …
Graph neural networks (GNNs) compose layers of graph filters and point-wise non-linearities
What are the fundamental motivations and mechanics that drive Graph Neural Networks, what are the diferent variants, and what are their applications?
Graph Neural Network Course - GitHub
Graph Neural Networks (GNNs) are one of the most interesting architectures in deep learning but educational resources are scarce and more research-oriented. In this course, you'll learn …
Graph Neural Networks with PyTorch - GeeksforGeeks
Jul 23, 2025 · Implementing Graph Neural Networks (GNNs) with the CORA dataset in PyTorch, specifically using PyTorch Geometric (PyG), involves several steps. Here's a guide through …