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]
@inproceedings{KuhlmannT19,
title = {Using Graph Convolutional Networks for Approximate Reasoning with Abstract Argumentation Frameworks: A Feasibility Study},
author = {Isabelle Kuhlmann and Matthias Thimm},
year = {2019},
doi = {10.1007/978-3-030-35514-2_3},
url = {https://doi.org/10.1007/978-3-030-35514-2_3},
researchr = {https://researchr.org/publication/KuhlmannT19},
cites = {0},
citedby = {0},
pages = {24-37},
booktitle = {Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings},
editor = {Nahla Ben Amor and Benjamin Quost and Martin Theobald},
volume = {11940},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-35514-2},
}