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A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A curated collection of research papers and software for explainable graph machine learning and reasoning.
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