OpenKE
An Open-Source Package for Knowledge Embedding (KE) (by thunlp)
Entity_Alignment_Papers
Must-read papers on entity alignment published in recent years (by THU-KEG)
OpenKE | Entity_Alignment_Papers | |
---|---|---|
1 | 1 | |
3,724 | 513 | |
0.9% | 1.0% | |
7.8 | 4.8 | |
4 months ago | 7 months ago | |
Python | ||
- | - |
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.
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.
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.
-
Finding subgraphs of the same topology
OpenKE-PyTorch https://github.com/thunlp/OpenKE
Entity_Alignment_Papers
Posts with mentions or reviews of Entity_Alignment_Papers.
We have used some of these posts to build our list of alternatives
and similar projects.
-
General question; don't upvote about matching data. I have a VERY light tech background and just need a jump off point and what to research!
You can also look at more modern solutions which use Graph Neural Nets, here(https://github.com/THU-KEG/Entity_Alignment_Papers) is a repository which have tons of such papers
What are some alternatives?
When comparing OpenKE and Entity_Alignment_Papers you can also consider the following projects:
dgl-ke - High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
PyTorch-BigGraph - Generate embeddings from large-scale graph-structured data.