### Lectures/Videos

Stanford CS224W: Machine Learning with Graphs

Intro to graph neural networks (ML Tech Talks)

[CMU 10-707 Introduction to Deep Learning] Lecture 12. Introduction to Graph Neural Network

Deep Learning With PyTorch - Full Course

Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)

Linear Algebra Done Right Videos

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

### Books/Notes

A Gentle Introduction to Graph Neural Networks

How Graph Neural Networks (GNN) work

COMP 766 - Graph Representation Learning

Tutorial: Graph Neural Networks for Social Networks Using PyTorch

Tutorials for Machine Learning on Graphs

A Comprehensive Introduction to Graph Neural Networks (GNNs)

Python NetworkX for Graph Optimization Tutorial

Python Edition — An Introduction to Statistical Learning

An Introduction to Statistical Learning

Economic Networks: Theory and Computation

The Little Book of Deep Learning

The matrix calculus you need for deep learning

Learn the Basics — PyTorch Tutorials 1.10.1+cu102 documentation

Machine learning, explained | MIT Sloan

Introduction to Probability for Data Science

Dive into Deep Learning — Dive into Deep Learning 1.0.0-beta0 documentation

The Technology of Life. A DNA-centric tour of biology.

Towards understanding glasses with graph neural networks

Understanding Machine Learning: From Theory to Algorithms

Probabilistic Machine Learning

“Probabilistic machine learning”: a book series by Kevin Murphy

shervinea/mit-15-003-data-science-tools: Study guides for MIT's 15.003 Data Science Tools