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A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
Implementation and experiments of various graph embedding algorithms for developers building AI-powered applications.
DeepWalk is a Python library that learns feature representations for nodes in a graph using deep learning techniques.
A curated list of community detection research papers with implementations for data science and network analysis.
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
PyTorch implementation and explanation of popular graph representation learning papers.
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