Author of the publication

Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction.

, , , and . ACL, page 2296-2308. Association for Computational Linguistics, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings, , and . International Conference on Learning Representations, (2020)Differentiable Implicit Layers., , , , and . CoRR, (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 Relational Tucker Decomposition for Multi-Relational Link Prediction., , and . CoRR, (2019)Scalable Frequent Sequence Mining with Flexible Subsequence Constraints., , and . ICDE, page 1490-1501. IEEE, (2019)Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques., and . Proc. VLDB Endow., 15 (3): 633-645 (2021)Front Matter.. Proc. VLDB Endow., (2021)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 . Proc. VLDB Endow., 13 (11): 1877-1890 (2020)