( en | de | ru )

 

Disambiguation of "Yazdi, Hamed Shariat"

Author of the publication

copydeleteadd this publication to your clipboard
The Effect of Rule Injectionin a Leakage Free Dataset.

, , , , , , and . KR4L@ECAI, volume 3020 of CEUR Workshop Proceedings, page 28-35. CEUR-WS.org, (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.

Hamed Shariat Yazdi

Amir Sadegh Yazdi

Kaveh Shariat

Parissa Yazdi

Nahid Khoshraftar Yazdi

 

Other publications of authors with the same name

Soft Marginal TransE for Scholarly Knowledge Graph Completion., , , and . CoRR, (2019)LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules., , , and . CoRR, (2019)From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment., , , , and . SEMANTiCS, volume 11702 of Lecture Notes in Computer Science, page 215-230. Springer, (2019)Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition., , , , and . CoRR, (2019)On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score., , , , and . CoRR, (2019)Embedding-Based Recommendations on Scholarly Knowledge Graphs., , , , and . ESWC, volume 12123 of Lecture Notes in Computer Science, page 255-270. Springer, (2020)Pattern-Aware and Noise-Resilient Embedding Models., , , , , and . ECIR (1), volume 12656 of Lecture Notes in Computer Science, page 483-496. Springer, (2021)TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation., , , , and . COLING, page 1583-1593. International Committee on Computational Linguistics, (2020)Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding., , , , and . ISWC (1), volume 12506 of Lecture Notes in Computer Science, page 654-671. Springer, (2020)Metaresearch recommendations using knowledge graph embeddings, , , , , and . RecNLP workshop of AAAI Conference, (2019)