You want to code a CONVOLUTION Layer for a GNN from scratch? With TensorFlow KERAS in a Jupyter NB and train your GCN to perform NODE PREDICTION?? Welcome!! After a) GRID DATA (Vision) and b) SEQUENCE DATA (NLP - Natural Language Processing) we now switch to more complex topological data: c) GRAPH DATA! ** Great interactive explanatory of Graph and GNN basics: https://distill.pub/2021/gnn-intro/ by Google research ** Official Google Colab NB: https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/graph/ipynb/gnn_citations.ipynb *** Highly recommended course for Geometric Deep Learning : CS224W: Machine Learning with Graphs | 2021 https://www.youtube.com/watch?v=JAB_plj2rbA by Stanford online *** 00:00 Data Topology GNN 02:30 Node Level Task 06:05 Definition GNN 08:50 Prediction Task w/ GNN 11:00 PyTorch geometric 11:20 Deep Graph Library 11:55 KERAS Jupyter NB 17:33 GNN Node Classifier #KERAS #GNN #ConvolutionLayerGNN