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A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
PyTorch implementation and explanation of popular graph representation learning papers.
A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.
Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.
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