Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli. A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. In Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng, editors, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I. Volume 13935 of Lecture Notes in Computer Science, pages 264-275, Springer, 2023. [doi]
@inproceedings{KiranMP23,
title = {A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules},
author = {Rage Uday Kiran and Abinash Maharana and Krishna Reddy Polepalli},
year = {2023},
doi = {10.1007/978-3-031-33374-3_21},
url = {https://doi.org/10.1007/978-3-031-33374-3_21},
researchr = {https://researchr.org/publication/KiranMP23},
cites = {0},
citedby = {0},
pages = {264-275},
booktitle = {Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I},
editor = {Hisashi Kashima and Tsuyoshi Idé and Wen-Chih Peng},
volume = {13935},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-33374-3},
}