dgl-ke VS OpenKE

Compare dgl-ke vs OpenKE and see what are their differences.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings. (by awslabs)

OpenKE

An Open-Source Package for Knowledge Embedding (KE) (by thunlp)
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dgl-ke OpenKE
1 1
1,235 3,719
1.6% 1.7%
0.8 7.8
6 months ago 4 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dgl-ke

Posts with mentions or reviews of dgl-ke. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

OpenKE

Posts with mentions or reviews of OpenKE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

What are some alternatives?

When comparing dgl-ke and OpenKE you can also consider the following projects:

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.

zsl-kg - Framework for zero-shot learning with knowledge graphs.

pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec

zeroshot_topics - Topic Inference with Zeroshot models