Dataset Open Access
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="999" ind1="C" ind2="5"> <subfield code="x">Kexuan Sun, Shudan Zhong, and Hong Xu. 2020. Learning Embeddings of Directed Networks with Text-Associated Nodes---with Application in Software Package Dependency Networks. 2020 BigGraphs Workshop at IEEE BigData 2020</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Network</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Text</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Software Engineering</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Labeled</subfield> </datafield> <controlfield tag="005">20201126122716.0</controlfield> <controlfield tag="001">4291914</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of California, Berkeley</subfield> <subfield code="0">(orcid)0000-0003-3962-1659</subfield> <subfield code="a">Shudan Zhong</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">253333490</subfield> <subfield code="z">md5:51858b5831d7965a28d90fc5c271f1d4</subfield> <subfield code="u">https://zenodo.org/record/4291914/files/package-dependency-networks.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-09-11</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:4291914</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">University of Southern California</subfield> <subfield code="0">(orcid)0000-0001-7874-4518</subfield> <subfield code="a">Hong Xu</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Fedora and Debian software package dependency networks along with description text associated with nodes</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://opensource.org/licenses/MIT</subfield> <subfield code="a">MIT License</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Fedora (version 28) and Debian (version 9.5) software package dependency networks along with description text associated with nodes. Also includes learned vectors by using PCTADW-* as in &quot;Kexuan Sun, Shudan Zhong, and Hong Xu. 2020. Learning Embeddings of Directed Networks with Text-Associated Nodes---with Application in Software Package Dependency Networks. 2020 BigGraphs Workshop at IEEE BigData 2020.&quot;</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">arxiv</subfield> <subfield code="i">isSupplementTo</subfield> <subfield code="a">arXiv:1809.02270</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.1410669</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.4291914</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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Downloads | 87 | 10 |
Data volume | 9.9 GB | 2.5 GB |
Unique views | 374 | 59 |
Unique downloads | 70 | 10 |