Published in: LIPIcs, Volume 278, 30th International Symposium on Temporal Representation and Reasoning (TIME 2023)
Marco Sälzer and Silvia Beddar-Wiesing. Time-Aware Robustness of Temporal Graph Neural Networks for Link Prediction (Extended Abstract). In 30th International Symposium on Temporal Representation and Reasoning (TIME 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 278, pp. 19:1-19:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{salzer_et_al:LIPIcs.TIME.2023.19,
author = {S\"{a}lzer, Marco and Beddar-Wiesing, Silvia},
title = {{Time-Aware Robustness of Temporal Graph Neural Networks for Link Prediction}},
booktitle = {30th International Symposium on Temporal Representation and Reasoning (TIME 2023)},
pages = {19:1--19:3},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-298-3},
ISSN = {1868-8969},
year = {2023},
volume = {278},
editor = {Artikis, Alexander and Bruse, Florian and Hunsberger, Luke},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2023.19},
URN = {urn:nbn:de:0030-drops-191094},
doi = {10.4230/LIPIcs.TIME.2023.19},
annote = {Keywords: graph neural networks, temporal, verification}
}