Showing 1-7 of 7 projects
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
A PyTorch implementation of the Graph Attention Network model for developers working with AI tools.
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
PyTorch implementation and explanation of popular graph representation learning papers.
A heterogeneous graph neural network library for advanced graph representation learning.
A knowledge graph attention network for building explainable recommendation systems.
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