SpectralEmbeddings VS karateclub

Compare SpectralEmbeddings vs karateclub and see what are their differences.

SpectralEmbeddings

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder. (by abhilash1910)
Gcn tf spectral chebyshev-polynomials gcn-filter vanillagcn Spline sdne node-embedding Tensorflow2
Source Code
pypi.org
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karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) (by benedekrozemberczki)
Machine Learning community-detection graph-clustering Deepwalk Networkx Louvain network-science unsupervised-learning Gcn Node2vec Graph2vec supervised-learning Sklearn networkx-graph Scikit label-propagation graph-embedding network-embedding node-embedding 2vec
Source Code
karateclub.readthedocs.io
Docs
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SpectralEmbeddings karateclub
1 1
62 2,089
- -
2.6 7.0
over 2 years ago 2 months ago
HTML Python
GNU General Public License v3.0 or later GNU General Public License v3.0 only
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SpectralEmbeddings

Posts with mentions or reviews of SpectralEmbeddings. We have used some of these posts to build our list of alternatives and similar projects.

karateclub

Posts with mentions or reviews of karateclub. We have used some of these posts to build our list of alternatives and similar projects.
  • Embedding attributed graphs
    1 project | /r/MLQuestions | 5 Feb 2023
    Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.

What are some alternatives?

When comparing SpectralEmbeddings and karateclub you can also consider the following projects:

gpt-mini - Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer).

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

gym - A toolkit for developing and comparing reinforcement learning algorithms.

scikit-learn - scikit-learn: machine learning in Python

gensim - Topic Modelling for Humans

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Surprise - A Python scikit for building and analyzing recommender systems

openskill.py - Multiplayer Rating System. No Friction.

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

NuPIC - Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

SpectralEmbeddings vs gpt-mini karateclub vs tensorflow karateclub vs Keras karateclub vs xgboost karateclub vs gym karateclub vs scikit-learn karateclub vs gensim karateclub vs Prophet karateclub vs Surprise karateclub vs openskill.py karateclub vs TFLearn karateclub vs NuPIC