KGvec2go - Knowledge Graph Embeddings as a Service

Basic Idea

A web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Also, use a combination of multiple models which leads to better outcome.


  • Walk generation of embeddings (duplicate free random walks)

  • Web API to access the data models in a lightweight way. Bring powerful embedding models to devices with restriction in CPU and RAM.


  • What is its motivation and key contribution?

  • How does the access work exactly? (computationally cheap, memory efficient, easy), how does this paper show all of these?

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