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  2. NetworkX - Wikipedia

    en.wikipedia.org/wiki/NetworkX

    Several Python packages focusing on graph theory, including igraph, graph-tool, and numerous others, are available. As of April 2024, NetworkX had over 50 million downloads, [ 6 ] surpassing the download count of the second most popular package, igraph, by more than 50-fold. [ 7 ]

  3. Graph-tool - Wikipedia

    en.wikipedia.org/wiki/Graph-tool

    graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++ , making extensive use of metaprogramming , based heavily on the Boost Graph Library . [ 1 ]

  4. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Python: Python: No No Yes No Yes Yes Yes Yes No Yes No [7] Deeplearning4j: Skymind engineering team; Deeplearning4j community; originally Adam Gibson 2014 Apache 2.0: Yes Linux, macOS, Windows, Android (Cross-platform) C++, Java: Java, Scala, Clojure, Python , Kotlin: Yes No [8] Yes [9] [10] No Computational Graph Yes [11] Yes Yes Yes Yes [12 ...

  5. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    The graph attention network (GAT) was introduced by Petar Veličković et al. in 2018. [11] Graph attention network is a combination of a GNN and an attention layer. The implementation of attention layer in graphical neural networks helps provide attention or focus to the important information from the data instead of focusing on the whole data.

  6. Graph drawing - Wikipedia

    en.wikipedia.org/wiki/Graph_drawing

    Microsoft Automatic Graph Layout, open-source .NET library (formerly called GLEE) for laying out graphs [30] NetworkX is a Python library for studying graphs and networks. Tulip, [31] an open-source data visualization tool; yEd, a graph editor with graph layout functionality [32] PGF/TikZ 3.0 with the graphdrawing package (requires LuaTeX). [33]

  7. Chainer - Wikipedia

    en.wikipedia.org/wiki/Chainer

    A supercomputer running Chainer on 1024 GPUs processed 90 epochs of ImageNet dataset on ResNet-50 network in 15 minutes, which is four times faster than the previous record held by Facebook. [ 16 ] [ 17 ] ChainerRL adds state of art deep reinforcement learning algorithms, and ChainerUI is a management and visualization tool.

  8. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    Boost Graph Library: a powerful C++ graph library s.a. Boost (C++ libraries) Networkx: a Python graph library; GraphMatcher a java program to align directed/undirected graphs. GraphBLAS A specification for a library interface for operations on graphs, with a particular focus on sparse graphs.

  9. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Graph-tool a Python library for graph manipulation and visualization. OmniGraffle version 5 and later uses the Graphviz engine, with a limited set of commands, for automatically laying out graphs. [9] Org-mode can work with DOT source code blocks. [10] PlantUML uses Graphviz to generate UML diagrams from text descriptions.