Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt. Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Volume 14171 of Lecture Notes in Computer Science, pages 533-549, Springer, 2023. [doi]
@inproceedings{GastingerSSSS23,
title = {Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting},
author = {Julia Gastinger and Timo Sztyler and Lokesh Sharma and Anett Schuelke and Heiner Stuckenschmidt},
year = {2023},
doi = {10.1007/978-3-031-43418-1_32},
url = {https://doi.org/10.1007/978-3-031-43418-1_32},
researchr = {https://researchr.org/publication/GastingerSSSS23},
cites = {0},
citedby = {0},
pages = {533-549},
booktitle = {Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III},
editor = {Danai Koutra and Claudia Plant and Manuel Gomez-Rodriguez and Elena Baralis and Francesco Bonchi},
volume = {14171},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-43418-1},
}