What Kinds of Relational Features Are Useful for Statistical Learning?

DOI10.1007/978-3-642-38812-5_15zbMath1382.68203OpenAlexW1420240528MaRDI QIDQ4928420

Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan

Publication date: 14 June 2013

Published in: Inductive Logic Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-38812-5_15

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Logic programming (68N17)

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An empirical study of on-line models for relational data streams ⋮ Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment ⋮ Consensus-based modeling using distributed feature construction with ILP ⋮ Unnamed Item ⋮ Incorporating symbolic domain knowledge into graph neural networks

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