dgl-ke VS PyTorch-BigGraph

Compare dgl-ke vs PyTorch-BigGraph 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)

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data. (by facebookresearch)
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dgl-ke PyTorch-BigGraph
1 1
1,235 3,346
1.6% -
0.8 5.2
6 months ago about 2 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

PyTorch-BigGraph

Posts with mentions or reviews of PyTorch-BigGraph. 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 PyTorch-BigGraph you can also consider the following projects:

OpenKE - An Open-Source Package for Knowledge Embedding (KE)

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

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

pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec

zeroshot_topics - Topic Inference with Zeroshot models