Nicholas Halliwell, Fabien Gandon, Freddy Lécué. A Simplified Benchmark for Non-ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks. In Oshani Seneviratne, Catia Pesquita, Juan Sequeda, Lorena Etcheverry, editors, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, October 24-28, 2021. Volume 2980 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]
@inproceedings{HalliwellGL21,
title = {A Simplified Benchmark for Non-ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks},
author = {Nicholas Halliwell and Fabien Gandon and Freddy Lécué},
year = {2021},
url = {http://ceur-ws.org/Vol-2980/paper326.pdf},
researchr = {https://researchr.org/publication/HalliwellGL21},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, October 24-28, 2021},
editor = {Oshani Seneviratne and Catia Pesquita and Juan Sequeda and Lorena Etcheverry},
volume = {2980},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}