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You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

, , and . International Conference on Learning Representations, (2020)

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Scalable Frequent Sequence Mining with Flexible Subsequence Constraints., , and . ICDE, page 1490-1501. IEEE, (2019)Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings., , and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 138-154. Springer, (2022)Dynamic Parameter Allocation in Parameter Servers., , , and . CoRR, (2020)NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access., , , and . SIGMOD Conference, page 481-495. ACM, (2022)LibKGE - A knowledge graph embedding library for reproducible research., , , , and . EMNLP (Demos), page 165-174. Association for Computational Linguistics, (2020)Sequence-to-Sequence Knowledge Graph Completion and Question Answering., , and . ACL (1), page 2814-2828. Association for Computational Linguistics, (2022)You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings, , and . International Conference on Learning Representations, (2020)On Evaluating Embedding Models for Knowledge Base Completion., , , , and . RepL4NLP@ACL, page 104-112. Association for Computational Linguistics, (2019)A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs., and . EMNLP (Findings), page 10634-10643. Association for Computational Linguistics, (2023)A Unified Framework for Frequent Sequence Mining with Subsequence Constraints., , and . ACM Trans. Database Syst., 44 (3): 11:1-11:42 (2019)