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algebraic-graphs-io: I/O utilities and datasets for algebraic-graphs

[ bsd3, data-mining, graphs, library, parsing ] [ Propose Tags ] [ Report a vulnerability ]
Versions [RSS] 0.1.1.0, 0.1.2.0, 0.1.3.0, 0.1.4.0, 0.1.5.0, 0.1.5.1, 0.2, 0.3, 0.4, 0.5, 0.5.0.1 (info)
Change log CHANGELOG.md
Dependencies aeson, algebraic-graphs, attoparsec, base (>=4.7 && <5), binary, binary-conduit, bytestring, conduit, conduit-extra, containers, csv-conduit, directory, exceptions, filepath, http-conduit, megaparsec, mtl, parser-combinators, primitive, serialise, tar-conduit, text, transformers, vector [details]
Tested with ghc ==8.8.4, ghc ==9.0.2
License BSD-3-Clause
Copyright 2020-2021 ocramz
Author Marco Zocca
Maintainer ocramz
Category Graphs, Parsing, Data Mining
Home page https://github.com/ocramz/algebraic-graphs-io
Source repo head: git clone https://github.com/ocramz/algebraic-graphs-io
Uploaded by ocramz at 2022-08-26T13:05:29Z
Distributions NixOS:0.5.0.1
Downloads 1702 total (23 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2022-08-26 [all 1 reports]

Readme for algebraic-graphs-io-0.5.0.1

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algebraic-graphs-io

This package collects I/O utilities for algebraic-graphs : parsers and serializers for common graph data interchange formats, as well as functionality for downloading and caching larger datasets.

Formats

Currently the following formats are supported :

  • GML : used by a few common graph software packages (NetworkX, Gephi, graphviz, and others)

  • .tsv : tab-separated list of edge data, used e.g. for the Graph Challenge dataset [1]

  • JSON : via 'aeson'

  • CBOR : via 'serialise'

Datasets

The package contains some small example datasets (e.g. "lesmiserables" and "karateclub"); these are provided ready for consumption in Algebra.Graph.IO.Datasets.

There are also bindings to larger datasets, such as the ones provided by the LINQS group [2] (e.g. "citeseer" and "cora").

Contributing

PRs and contributions welcome!

References

[1] GraphChallenge https://graphchallenge.mit.edu/data-sets

[2] LINQS https://linqs.soe.ucsc.edu/data