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Shrinking Embeddings for Hyper-Relational Knowledge Graphs

, , , and . The 61st Annual Meeting of the Association for Computational Linguistics, (2023)

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Hyperbolic Embedding Inference for Structured Multi-Label Prediction, , , and . 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Amherst, OpenReview, (2022)Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function., , , , and . CoRR, (2019)Box Embeddings for the Description Logic EL++., , , , and . CoRR, (2022)Faithful Embedding for EL++ Knowledge Bases, , , , and . Proceedings of the 21st International Semantic Web Conference (ISWC 2022), page 1-16. (2022)Towards Statistical Reasoning with Ontology Embeddings, , , , , , and . (2023)Knowledge Graph Embeddings using Neural Itô Process: From Multiple Walks to Stochastic Trajectories, , , , , , and . Findings of the Association for Computational Linguistics: ACL 2023, page 7165--7179. (2023)Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models, , , and . ACM, (2023)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)Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding, , , , and . Lecture Notes in Computer Science, Springer International Publishing, (2020)