Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom

Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom

The problem of query answering over incomplete attributed graph data is a challenging field of database management systems and artificial intelligence. When there are rules on data structure expressed in the form of the ontology, the theoretical complexity of finding exact solution satisfying ontolo...

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Bibliographic Details
Main Authors: Olga Gerasimova, Nikita Severin, Ilya Makarov
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Computational complexity
datalog reasoner
disjunctive datalog
graph machine learning
graph neural networks
node classification
Online Access:https://ieeexplore.ieee.org/document/10216983/

Internet

https://ieeexplore.ieee.org/document/10216983/

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