PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Die Hauptfunktionen von graphistry/pygraphistry sind: Graph Learning, Python Network Analysis.
Open-Source-Alternativen zu graphistry/pygraphistry sind unter anderem: benedekrozemberczki/karateclub — Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020). chszlab/chszlablib — Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg. dmlc/dgl — DGL is a Python library for building and training graph neural networks. It functions as a graph message passing… ericmjl/nxviz — Visualization Package for NetworkX. giuliorossetti/cdlib — Community Discovery Library. benedekrozemberczki/littleballoffur — Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020).
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
DGL is a Python library for building and training graph neural networks. It functions as a graph message passing framework and a geometric deep learning tool, enabling the development of models that analyze graph-structured data. The library is designed for large-scale graph processing, utilizing distributed training and neighbor sampling to handle datasets with billions of edges. It provides specialized support for heterogeneous graph modeling, allowing for the representation of complex real-world entities with multiple node and edge types. Its capabilities cover a wide range of graph tasks
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)