Quaternion Knowledge Graph Embeddings

• StarSpace

  5 3,897 0.0 C++

  Discontinued Learning embeddings for classification, retrieval and ranking.

  

This completely misunderstands what this is.

In this context "knowledge graph" means a representation of knowledge independent of it's serialization format (ie, RDF vs whatever).

It's usable wherever you have a key value (key:value of relationship) or a triple (key:relationship:something).

This is probably 85% of everything that is stored in a database, with the exception being paths that vary enough that you can't use the path as a key or relationship. In particular, most trees are suitable if you use collapse the path down to a single relationship.

I've done a bunch of work on graph embedding. They are very effective for use in anything that can be thought of as a recommendation system ("this person would like these books") or similarity ("this person is similar to these people").

Back when I was working on them I found Starspace wonderfully easy and effective: https://github.com/facebookresearch/StarSpace

• pykeen

  1 1,529 7.3 Python

  🤖 A Python library for learning and evaluating knowledge graph embeddings

  

QuatE is implemented in PyKEEN, a library for KnowEdge graph EmbeddiNgs, https://github.com/pykeen/pykeen

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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