Transforming Graph Data for Statistical Relational Learning
نویسندگان
چکیده
منابع مشابه
Transforming Graph Data for Statistical Relational Learning
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of Statistical Relational Learning (SRL) algorithms to these domains. In this article, we examine and categorize techniques for transforming graph-based relational data to ...
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Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of statistical relational learning (SRL) algorithms to these domains. In this article, we examine a range of representation issues for graph-based relational data. Since th...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2012
ISSN: 1076-9757
DOI: 10.1613/jair.3659