PDN VS karateclub

Compare PDN vs karateclub and see what are their differences.

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PDN karateclub
1 1
57 2,089
- -
0.0 7.0
over 1 year ago 2 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
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.

PDN

Posts with mentions or reviews of PDN. 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 PDN and karateclub you can also consider the following projects:

awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations.

tensorflow - An Open Source Machine Learning Framework for Everyone

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Keras - Deep Learning for humans

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

gensim - Topic Modelling for Humans