Articles with "relational features" as a keyword



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Consensus-based modeling using distributed feature construction with ILP

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Published in 2017 at "Machine Learning"

DOI: 10.1007/s10994-017-5672-2

Abstract: A particularly successful role for Inductive Logic Programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive model. Conceptually, the case for using ILP to construct relational features… read more here.

Keywords: relational features; ilp; consensus based; feature ... See more keywords
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GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks

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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2019.2947458

Abstract: Collective classification has attracted considerable attention in the last decade, where the labels within a group of instances are correlated and should be inferred collectively, instead of independently. Conventional approaches on collective classification mainly focus… read more here.

Keywords: information networks; relational features; classification heterogeneous; collective classification ... See more keywords