Graph Neural Networks

Explore recommended reads, summarized by AI

Applications and Use Cases

How graph neural networks are applied to forecasting, prediction, and domain-specific problems.

Prediction and Forecasting Applications

Fundamentals and Architectures

Explanations of core concepts, architectures, and techniques in graph neural networks.

Core Concepts and Architectures

Popular this week

Anupama Bidargaddi

Message Passing in Graph Neural Networks: The Mathematics Behind Graph Representation Learning

Aug 26

Data And Beyond

Dima Iakubovskyi

Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier

Jun 7

Anupama Bidargaddi

Graph Basics for Machine Learning: From Adjacency Matrix to Graph Laplacian

Aug 31

Level Up Coding

Slava Efimov

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Sep 16

Anupama Bidargaddi

Spectral GNNs: From Graph Convolutions to Attention

Sep 28

Selected by Medium

Level Up Coding

Slava Efimov

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Sep 16

AI Advances

Malcolm Lett

Can an AI Learn the Planning Algorithm? Part 1

Aug 10

Rakesh Sheshadri

Graphs Are Everywhere — And Graph Neural Networks Are How AI Finally Learned to See Them

Jul 23

Latest stories

Schrödinger's cat

AI Can Understand How Things Are Connected. Here's How GNNs Work.

3h ago

Ariadne Christidis

How I Replicated and Extended a Maritime Routing Model With Graph Neural Networks in Python

2d ago

Yash And Shubhransh - ML Box

The Attacks On Graph Nueral Networks Are Getting Out of Hand

4d ago

Vid Cabrian

Climbing the Graph: A GNN-Powered MoonBoard Recommender System

Oct 27

Graph Neural Networks

Applications and Use Cases

Prediction and Forecasting Applications

Fundamentals and Architectures

Core Concepts and Architectures

Popular this week

Message Passing in Graph Neural Networks: The Mathematics Behind Graph Representation Learning

Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier

Graph Basics for Machine Learning: From Adjacency Matrix to Graph Laplacian

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Spectral GNNs: From Graph Convolutions to Attention

Selected by Medium

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Can an AI Learn the Planning Algorithm? Part 1

Graphs Are Everywhere — And Graph Neural Networks Are How AI Finally Learned to See Them

Latest stories

AI Can Understand How Things Are Connected. Here's How GNNs Work.

How I Replicated and Extended a Maritime Routing Model With Graph Neural Networks in Python

The Attacks On Graph Nueral Networks Are Getting Out of Hand

Climbing the Graph: A GNN-Powered MoonBoard Recommender System

Do Graph Neural Networks Beat CNNs in AlphaZero-Style Self-Play?

Who to follow

Popular this week

Message Passing in Graph Neural Networks: The Mathematics Behind Graph Representation Learning

Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier

Graph Basics for Machine Learning: From Adjacency Matrix to Graph Laplacian

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Spectral GNNs: From Graph Convolutions to Attention

Selected by Medium

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

Can an AI Learn the Planning Algorithm? Part 1

Graphs Are Everywhere — And Graph Neural Networks Are How AI Finally Learned to See Them

Latest stories

AI Can Understand How Things Are Connected. Here's How GNNs Work.

How I Replicated and Extended a Maritime Routing Model With Graph Neural Networks in Python

The Attacks On Graph Nueral Networks Are Getting Out of Hand

Climbing the Graph: A GNN-Powered MoonBoard Recommender System

Do Graph Neural Networks Beat CNNs in AlphaZero-Style Self-Play?

Who to follow