Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study

Isabelle Kuhlmann, Matthias Thimm. Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study. In Nahla Ben Amor, Benjamin Quost, Martin Theobald, editors, Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings. Volume 11940 of Lecture Notes in Computer Science, pages 24-37, Springer, 2019. [doi]

Abstract

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