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Graph Attention Network Project Walkthrough

Aleksa Gordić - The AI Epiphany via YouTube

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Overview

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This walkthrough explains an open-source Graph Attention Network implementation using the Cora dataset. It covers node features and labels, edge-index construction, and the implementation’s lifting, neighborhood-aware softmax, and aggregation steps.

Syllabus

Intro to GAT project
My other deep learning projects
README walkthrough
Node degree statistics
Entropy histograms
t-SNE plots
Graph drawing layout
Jupyter walkthrough
Understanding Cora dataset
Feature vectors and labels
Building the edge index
Toy example understanding the implementation
Lifting
Neighborhood aware softmax and aggregate
Outro, exciting deep learning projects

Taught by

Aleksa Gordić - The AI Epiphany

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