Showing 1-4 of 4 projects
A Python library for representation learning on large graphs using stochastic graph convolutions.
A distributed graph deep learning framework for building graph-based AI models and applications.
PyTorch implementation and explanation of popular graph representation learning papers.
Simple reference implementation of GraphSAGE, a graph neural network framework for machine learning.
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