"An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs."

Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart (2022)

> Home

Details and statistics

DOI: 10.1109/BIGDATA55660.2022.10020301

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/RequenaME22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/RequenaME22
Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart:
An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs. IEEE Big Data 2022: 5783-5791

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.