Papers by Jan Portisch

1 papers
KGvec2go – Knowledge Graph Embeddings as a Service (2020.lrec-1)

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Challenge: Currently, we serve pre-trained graph embeddings for four knowledge graphs . KGvec2go is a Web API for accessing and consuming graph embeds based on a knowledge graph .
Approach: They propose a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications.
Outcome: The proposed service can be used in machine learning, document modeling, and recommender systems.

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