KGvec2go - Knowledge Graph Embeddings as a Service
https://arxiv.org/pdf/2003.05809.pdf
PreviousDiskANN: Fast accurate billion-point nearest neighbor search on a single nodeNextSeminar & Talk
Last updated
Was this helpful?
https://arxiv.org/pdf/2003.05809.pdf
Last updated
Was this helpful?
Source:
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?