Week 13 – Lecture: Graph Convolutional Networks (GCNs) Share: Download MP3 Similar Tracks Week 13 – Practicum: Graph Convolutional Neural Networks (GCN) Alfredo Canziani (冷在) MIT Introduction to Deep Learning | 6.S191 Alexander Amini The Most Dangerous Building in Manhattan Veritasium Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED WIRED But what is a convolution? 3Blue1Brown MIT 6.S191: Convolutional Neural Networks Alexander Amini Intro to graph neural networks (ML Tech Talks) TensorFlow Graph Neural Networks Resource-aware Machine Learning Summer School (REAML) Graph Convolutional Networks (GCN): From CNN point of view Soroush Mehraban Variational Autoencoders Arxiv Insights Theoretical Foundations of Graph Neural Networks Petar Veličković Graph Representation Learning (Stanford university) Machine Learning TV An Introduction to Graph Neural Networks: Models and Applications Microsoft Research MIT Introduction to Deep Learning (2024) | 6.S191 Alexander Amini What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata The Royal Institution But what is a neural network? | Deep learning chapter 1 3Blue1Brown 11 – Graph Convolutional Networks (GCNs) Alfredo Canziani (冷在) Learning the Structure of Graph Neural Networks | Mathias Niepert | heidelberg.ai heidelberg.ai Temporal Graph Networks (TGN) from scratch | Modeling dynamic graph neural network | For beginners Vizuara Graph Convolutional Networks (GCN) | GNN Paper Explained Aleksa Gordić - The AI Epiphany
