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A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
Generate Word2Vec vectors for DBpedia entities from Wikipedia dumps, linking words and topics to structured knowledge.
Cleora is a fast, deterministic graph embedding engine that computes all random walks in a single matrix multiplication, requiring no GPUs or negative sampling.
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