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Graph Neural Networks Part 3: How GraphSAGE Handles Changing Graph Structure
In the previous parts of this series, we looked at Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs). Both architectures work fine, but they also have some limitations! A big one is that for large graphs, calculating the node representations with...
A Simple Implementation of the Attention Mechanism from Scratch
Introduction The Attention Mechanism is often associated with the transformer architecture, but it was already used in RNNs. In Machine Translation or MT (e.g., English-Italian) tasks, when you want to predict the next Italian word, you need your model to focus, or...
Create Your Supply Chain Analytics Portfolio to Land Your Dream Job
Supply chains are under pressure like never before. From climate-driven disruptions to geopolitical shifts, businesses must adapt to rising costs, new trade barriers and growing sustainability demands. In this new world where supply chains face uncertainty, Supply...