cleora VS node2vec-c

Compare cleora vs node2vec-c and see what are their differences.

cleora

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. (by BaseModelAI)
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cleora node2vec-c
8 1
472 50
0.6% -
2.4 0.0
6 months ago almost 4 years ago
Jupyter Notebook C++
GNU General Public License v3.0 or later MIT License
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.

cleora

Posts with mentions or reviews of cleora. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-11.

node2vec-c

Posts with mentions or reviews of node2vec-c. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-04.
  • [D] Why I'm Lukewarm on Graph Neural Networks
    4 projects | /r/MachineLearning | 4 Jan 2021
    First, I compared the speed (on a 6-core Mac, once, not scientific benchmarking, beware) of your library and a 3 year old standalone implementation I remember I once linked to you when you were posting about your library here (1 year ago? idk) https://github.com/xgfs/node2vec-c . The timings are (wall time) 17min 48s for your library and 4min 34s for the above code. That's (in?)famous Blogcatalog data, since I had that lying around. Note that there is also a node2vec implementation in SNAP and countless more on github. Is there any benchmark showing your version is faster than them?

What are some alternatives?

When comparing cleora and node2vec-c you can also consider the following projects:

i3status-rust - Very resourcefriendly and feature-rich replacement for i3status, written in pure Rust

LAGraph - This is a library plus a test harness for collecting algorithms that use the GraphBLAS. For test coverage reports, see https://graphblas.org/LAGraph/ . Documentation: https://lagraph.readthedocs.org

Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).

GEM

textsynth - A (unofficial) Rust wrapper for the TextSynth API.

finalfusion-rust - finalfusion embeddings in Rust

yourcontrols - Shared cockpit for Microsoft Flight Simulator.

dog - A command-line DNS client.

ggez - Rust library to create a Good Game Easily

PyO3 - Rust bindings for the Python interpreter

Rustlings - :crab: Small exercises to get you used to reading and writing Rust code!