Graph Machine Learning Videos

Twin Cities Deep Learning Study Group - Special Guest Daniele Grattarola Part 2

July 14th, 2020

Creator and maintainer of the Spektral graph machine learning framework Daniele Grattarola continues his introduction to graph machine learning, classifying protiens with GIN layers. View the Google Colab notebook here

Twin Cities Deep Learning Study Group - Special Guest Daniele Grattarola Part 1

July 1st, 2020

Creator and maintainer of the Spektral graph machine learning framework Daniele Grattarola provides both an introduction to machine learning, and a live-coded demo to get up and running with a graph convolutional neural network for two different datasets, one classifying nodes in a graph, and one for classifying complete graphs.

Graph Representation Learning (Stanford university)

Stanford University - Oct 3, 2019

Part of the CS224W Graph Machine Learning Course taught by Jure Leskovec Time: 1:16:52 Slides Key Insight: At 3:05 (on slide 5) he mentions that instead of manually putting in features we can automatically learn the features.

Graph Node Embedding Algorithms (Stanford - Fall 2019)

Stanford University - Nov 1, 2019

Part of the CS224W Graph Machine Learning Course taught by Jure Leskovec Time: 1:25:50 Key Insights:

Graph Embeddings

October 10th, 2019

This is one of our favorite videos. It is taught by Dr. Alica Frame who leads the Graph Machine Learning at Neo4j.

Deep Graph Generative Models

Stanford University - 2019

Part of the CS224W Graph Machine Learning Course taught by Jure Leskovec

Unsupervised Learning with Graph Neural Networks

By Thomas Kipf

Although Thomas Kipf talks rapidly, this video has a lot of information.

Yann LeCun - Graph Embedding, Content Understanding, and Self-Supervised Learning

Oct 29, 2018

Yann is one of the top machine learning experts in the world. He leads the Facebook ML team. Time: 1:10