LAGraph

This is a library plus a test harness for collecting algorithms that use the GraphBLAS. For test coverage reports, see https://graphblas.org/LAGraph/ . Documentation: https://lagraph.readthedocs.org (by GraphBLAS)
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LAGraph Alternatives

Similar projects and alternatives to LAGraph

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better LAGraph alternative or higher similarity.
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LAGraph reviews and mentions

Posts with mentions or reviews of LAGraph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-04.
  • The Hunt for the Missing Data Type
    10 projects | news.ycombinator.com | 4 Mar 2024
    > you probably want more specialised tools like BLAS/LAPACK

    The GraphBLAS and LAGraph are sparse matrix optimized libraries for this exact purpose:

    https://github.com/DrTimothyAldenDavis/GraphBLAS

    https://github.com/GraphBLAS/LAGraph/

  • A windowed graph Fourier transform
    2 projects | news.ycombinator.com | 4 Mar 2024
  • [D] Why I'm Lukewarm on Graph Neural Networks
    4 projects | /r/MachineLearning | 4 Jan 2021
    I work on GraphBLAS, primarily on its LAGraph library and on tutorials. In the last few years, the GraphBLAS community has made a lot of progress on more efficient sparse matrix algorithms and porting graph algorithms to linear algebra – I hope LAGraph can play the role of a more efficient NetworkX in the future. The output of most LAGraph algorithms is a bunch of vectors/matrices so piping these into machine learning algorithms should be possible (and probably more efficient than using other representations).
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 4 May 2024
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Stats

Basic LAGraph repo stats
3
222
8.0
3 days ago

GraphBLAS/LAGraph is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of LAGraph is C.

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