A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules - researchr publication authors

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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]

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