Understanding Graph Neural Networks | Part 3/3 - Pytorch Geometric and Molecule Data using RDKit

▬▬ Code ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Colab Notebook: https://colab.research.google.com/drive/16GBgwYR2ECiXVxA1BoLxYshKczNMeEAQ?usp=sharing ▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 Introduction 00:35 Google Colab Setup 02:00 Dataset explanation 08:20 GNN Model 13:00 Model training 17:13 Model predictions ▬▬ Support me if you like 🌟 ►Link to this channel: https://bit.ly/3zEqL1W ►Support me on Patreon: https://bit.ly/2Wed242 ►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl ▬▬ My equipment 💻 - Microphone: https://amzn.to/3DVqB8H - Microphone mount: https://amzn.to/3BWUcOJ - Monitors: https://amzn.to/3G2Jjgr - Monitor mount: https://amzn.to/3AWGIAY - Height-adjustable table: https://amzn.to/3aUysXC - Ergonomic chair: https://amzn.to/3phQg7r - PC case: https://amzn.to/3jdlI2Y - GPU: https://amzn.to/3AWyzwy - Keyboard: https://amzn.to/2XskWHP - Bluelight filter glasses: https://amzn.to/3pj0fK2