Graph Neural Networks: A gentle introduction

❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Resources that was very useful for me when learning about GNNs that you can check out for more information and from which I've used in the slides: Cs224w: https://youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn https://distill.pub/2021/gnn-intro/ https://distill.pub/2021/understanding-gnns/ https://www.youtube.com/playlist?list=PLV8yxwGOxvvoNkzPfCx2i8an--Tkt7O8Z https://youtu.be/8owQBFAHw7E https://youtu.be/uF53xsT7mjc https://youtu.be/w6Pw4MOzMuo Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection ✅ One-Time Donations: Paypal: https://bit.ly/3buoRYH ▶️ You Can Connect with me on: Twitter - https://twitter.com/aladdinpersson LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/ Github - https://github.com/aladdinpersson Timestamps: 0:00 Introduction 1:24 Why graphs 4:13 What is a graph 7:06 Common graph tasks 11:08 Representation of a graph 12:46 - How does a GNN work? 14:35 - Understanding information propagation 17:24 - Key property: Permutation Invariance 19:33 - Key property: Permutation Equivariance 22:22 - Message passing computation 23:53 - GNN Variant: Convolution 26:37 - GNN Variant: Attention 28:39 - Ending