Data for: Hierarchy Construction and Classification of Heterogeneous Complex Networks Based on RSDAEf

Published: 22 Jan 2020 | Version 1 | DOI: 10.17632/t4xmpbrr6v.1

Description of this data

This package contains the data sets used in the experiments of the following paper:

Jinli Zhang,Zongli Jiang, Yongping Du, Tong Li, Yida Wang, Jingxuan Liu “Hierarchy Construction and Classification of Heterogeneous Information Networks Based on RSDAEf"

USAGE LICENSE:

Please note that the data are released as the way they are. The authors assume no responsibility for any potential problems. Permission to use the data is granted for academic and education uses only. Please acknowledge the use of this package by citing the above paper and the following paper if you publish materials based on the data obtained from this package:

Jinli Zhang,Zongli Jiang, Yongping Du, Tong Li, Yida Wang, Jingxuan Liu Hierarchy Construction and Classification of Heterogeneous Information Networks Based on RSDAEf.

CONTENT

Files of four types of objects: author.txt, conference.txt, content.txt,year.txt;
file format: "id \t name label" in each line.

Files of two types of link relationships: paper_author.txt, title_content.txt;
file format: "id_of_object_type_i \t id_of_object_type_j" in each line denoting two linked objects in type i and type j.

Files of labels: author.txt, conference_label.txt, paper_author.txt;
file format: "id \t name \t label" in each line;

Experiment data files

This data is associated with the following publication:

Hierarchy construction and classification of heterogeneous information networks based on RSDAEf

Published in: Data & Knowledge Engineering

Latest version

  • Version 1

    2020-01-22

    Published: 2020-01-22

    DOI: 10.17632/t4xmpbrr6v.1

    Cite this dataset

    Du, Yongping; Li, Tong; Wang, Yida; JIANG, Zongli; Zhang, Jinli (2020), “Data for: Hierarchy Construction and Classification of Heterogeneous Complex Networks Based on RSDAEf ”, Mendeley Data, v1 http://dx.doi.org/10.17632/t4xmpbrr6v.1

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Categories

Machine Learning, Database

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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