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Ultrahyperbolic Knowledge Graph Embeddings

, , , , , , and . KDD '22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 2130-2139. New York, Association for Computing Machinery, (2022)
DOI: 10.1145/3534678.3539333

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Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs., , and . EMNLP (1), page 8999-9010. Association for Computational Linguistics, (2021)On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score., , , , and . CoRR, (2019)Ultrahyperbolic Knowledge Graph Embeddings, , , , , , and . KDD '22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 2130-2139. New York, Association for Computing Machinery, (2022)Time-aware Entity Alignment using Temporal Relational Attention, , , and . WWW '22 : Proceedings of the ACM Web Conference 2022, page 788-797. New York, Association for Computing Machinery, (2022)LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules., , , and . CoRR, (2019)Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition., , , , and . CoRR, (2019)Knowledge Graph Representation Learning using Ordinary Differential Equations., , , , , and . EMNLP (1), page 9529-9548. Association for Computational Linguistics, (2021)