Think Graph Neural Networks are hard to understand? Try this two part series..

Graph Neural Networks: Graphs helps us understand and visualize the relationship and connection information in a natural and close to human behavior. Graph Neural networks are solving various machine learning problems where CNN or convolutional neural networks can not be applied. This video is designed for the early technology adopters who want to learn graphs and graph neural networks in shortest possible amount of the time... In this video you will get all the required technical details and necessary technical explanations related to graph and graph neural networks so that you can code them in Python using NetworkX and PyG package, and apply your knowledge immediately to your own technical problems. This tutorial is divided into two parts with the following topics: Part 1 (This Video Tutorial): ----------------------------- - Fundamentals of Graph - Mathematics of Graph - Introduction to NetworkX Python Package - Graph Programming with NetworkX - Introduction to GNN - Relationship between GNN and CN
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