Uploaded January 2020 | Updated September 2026, 2 weeks ago
Graph Networks are extremely useful tools to help understand the graph data that's all around us. In this episode, I'm going to explain what some of the latest advancements in graph networks are and how you can leverage them to build your own graph network in a few lines of Python code. This space has matured so much that there is never a single library to discuss, there are always multiple competing options (which is a great thing). We'll be weighing the pros and cons of the Deep Graph, Graph Nets, and PyTorch Geometric library as well. I'm particularly interested in Graph Networks because of how well suited they are for interpreting the most complex biochemical factory that we know of - the human body. Enjoy!
TWITTER: bit.ly/2OHYLbB
WEBSITE: bit.ly/2OoVPQF
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
Coding Challenge Submission link ( Due Jan 26, 2019 at 12 PM PST):
https://forms.gle/Y3rY8EQhuyVySfx16
This is the example code from the video by the Deep Graph team, originally the toy dataset was the 'karate club' one, but i wanted to demo something more meaningful so i changed it to a toy 'protein network':
docs.dgl.ai/tutorials/basics/1_first.html#step-1-creating-a-graph-in-dgl
Type the code into Colab if you don't want to install it locally:
colab.research.google.com
Simple Neural Network by Milo Harper:
gist.github.com/miloharper/62fe5dcc581131c96276
Subscribe for more educational videos!
The Deep Graph Library:
github.com/dmlc/dgl
The Graph Nets Library:
github.com/deepmind/graph_nets
PyTorch Geometric Library:
github.com/rusty1s/pytorch_geometric
The Hyperfoods paper:
nature.com/articles/s41598-019-45349-y
Read any research paper for free by typing it into this:
https://sci-hub.se/
Are you a total beginner to machine learning? Watch this:
youtube.com/watch?v=Cr6VqTRO1v0
Learn Python:
youtube.com/watch?v=T5pRlIbr6gg
Learn PyTorch:
youtube.com/watch?v=nbJ-2G2GXL0
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
Credits:
The I'M HIP-HOP Youtube channel for the Drake God's Plan beat
The Deep Graph team
Milo Harper
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
Graph Networks are extremely useful tools to help understand the graph data that's all around us. In this episode, I'm going to explain what some of the latest advancements in graph networks are and how you can leverage them to build your own graph network in a few lines of Python code. This space has matured so much that there is never a single library to discuss, there are always multiple competing options (which is a great thing). We'll be weighing the pros and cons of the Deep Graph, Graph Nets, and PyTorch Geometric library as well. I'm particularly interested in Graph Networks because of how well suited they are for interpreting the most complex biochemical factory that we know of - the human body. Enjoy!
TWITTER: bit.ly/2OHYLbB
WEBSITE: bit.ly/2OoVPQF
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
Coding Challenge Submission link ( Due Jan 26, 2019 at 12 PM PST):
https://forms.gle/Y3rY8EQhuyVySfx16
This is the example code from the video by the Deep Graph team, originally the toy dataset was the 'karate club' one, but i wanted to demo something more meaningful so i changed it to a toy 'protein network':
docs.dgl.ai/tutorials/basics/1_first.html#step-1-creating-a-graph-in-dgl
Type the code into Colab if you don't want to install it locally:
colab.research.google.com
Simple Neural Network by Milo Harper:
gist.github.com/miloharper/62fe5dcc581131c96276
Subscribe for more educational videos!
The Deep Graph Library:
github.com/dmlc/dgl
The Graph Nets Library:
github.com/deepmind/graph_nets
PyTorch Geometric Library:
github.com/rusty1s/pytorch_geometric
The Hyperfoods paper:
nature.com/articles/s41598-019-45349-y
Read any research paper for free by typing it into this:
https://sci-hub.se/
Are you a total beginner to machine learning? Watch this:
youtube.com/watch?v=Cr6VqTRO1v0
Learn Python:
youtube.com/watch?v=T5pRlIbr6gg
Learn PyTorch:
youtube.com/watch?v=nbJ-2G2GXL0
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
Credits:
The I'M HIP-HOP Youtube channel for the Drake God's Plan beat
The Deep Graph team
Milo Harper
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
