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Using Background Knowledge for Graph Based Learning: a Case Study in Chemoinformatics
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2007 (English)In: IMECS 2007: International Multiconference of Engineers and Computer Scientists, Vols I and II, Hong Kong: International Association of Engineers, 2007, 153-157 p.Conference paper, Published paper (Refereed)
Abstract [en]

Incorporating background knowledge in the learning process is proven beneficial for numerous applications of logic based learning methods. Yet the effect of background knowledge in graph based learning is not systematically explored. This paper describes and demonstrates the first step in this direction and elaborates on how additional relevant background knowledge could be used to improve the predictive performance of a graph learner. A case study in chemoinformatics is undertaken in this regard in which various types of background knowledge are encoded in graphs that are given as input to a graph learner. It is shown that the type of background knowledge encoded indeed has an effect on the predictive performance, and it is concluded that encoding appropriate background knowledge can be more important than the choice of the graph learning algorithm.

Place, publisher, year, edition, pages
Hong Kong: International Association of Engineers, 2007. 153-157 p.
Series
Lecture Notes in Engineering and Computer Science, ISSN 2078-0958
Keyword [en]
graph propositionalization, machine learning, structured data
National Category
Computer Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-37998ISI: 000246800600028ISBN: 978-988-98671-4-0 (print)OAI: oai:DiVA.org:su-37998DiVA: diva2:305559
Conference
International Multiconference of Engineers and Computer Scientists, Kowloon, People's Republic of China, March 21-23, 2007
Available from: 2011-01-18 Created: 2010-03-24 Last updated: 2014-02-12Bibliographically approved

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CiteExportLink to record
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Citation style
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