awesome-graph-classification
karateclub
| awesome-graph-classification | karateclub | |
|---|---|---|
| 1 | 1 | |
| 4,698 | 2,089 | |
| - | - | |
| 1.0 | 7.0 | |
| about 1 year ago | about 2 months ago | |
| Python | Python | |
| Creative Commons Zero v1.0 Universal | GNU General Public License v3.0 only |
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.
awesome-graph-classification
karateclub
-
Embedding attributed graphs
Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.
What are some alternatives?
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
tensorflow - An Open Source Machine Learning Framework for Everyone
euler - A distributed graph deep learning framework.
Keras - Deep Learning for humans
PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
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
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
gym - A toolkit for developing and comparing reinforcement learning algorithms.
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer
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.