English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction

Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., & Tsuda, K. (2009). Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. In H. Park, S. Parthasarathy, & H. Liu (Eds.), 2009 SIAM International Conference on Data Mining (SDM 2009) (pp. 1099-1110). Society for Industrial and Applied Mathematics: Philadelphia, PA, USA.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C4F1-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-F92D-4
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://epubs.siam.org/doi/10.1137/1.9781611972795.94 (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Kashima, H, Author           
Kato, T, Author
Yamanishi , Y, Author
Sugiyama, M, Author
Tsuda, K1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict
unknown parts of the network structure by using auxiliary information
such as node similarities. Since the proposed method can
fill in missing parts of tensors, it is applicable to multi-relational
domains, allowing us to handle multiple types of links simultaneously.
We also give a novel efficient algorithm for Link Propagation
based on an accelerated conjugate gradient method.

Details

show
hide
Language(s):
 Dates: 2009-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 5654
 Degree: -

Event

show
hide
Title: 2009 SIAM International Conference on Data Mining (SDM 2009)
Place of Event: Sparks, NV, USA
Start-/End Date: 2009-04-30 - 2009-05-02

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2009 SIAM International Conference on Data Mining (SDM 2009)
Source Genre: Proceedings
 Creator(s):
Park, H, Editor
Parthasarathy, S, Editor
Liu, H, Editor
Affiliations:
-
Publ. Info: Society for Industrial and Applied Mathematics : Philadelphia, PA, USA
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1099 - 1110 Identifier: ISBN: 978-0-89871-682-5