Splitting Link Prediction Data in PyTorch Geometric | Train, Validation & Test
• Introduction to Graph Neural Networks
In this tutorial, we walk through the data preparation steps for link prediction on the Citeseer dataset using graph autoencoders. Splitting your graph into training, validation, and test sets is crucial to ensure your model learns correctly and generalizes well.
By the end of this video, you’ll understand how to properly split graph data for link prediction tasks and be ready to implement graph autoencoders for predictive modeling.