Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them

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Veröffentlicht in:International Semantic Web Conference (19. : 2020 : Online) The Semantic Web - ISWC 2020 ; Part 1
1. Verfasser: Nayyeri, Mojtaba (VerfasserIn)
Weitere Verfasser: Xu, Chengjin (VerfasserIn), Vahdati, Sahar (VerfasserIn), Vassilyeva, Nadezhda (VerfasserIn), Sallinger, Emanuel (VerfasserIn), Yazdi, Hamed Shariat (VerfasserIn), Lehmann, Jens (VerfasserIn)
Pages:2020
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Sprache:eng
Veröffentlicht: 2020
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Extending SPARQL with Similarity Joins 2020 Ferrada, Sebastián
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From Syntactic Structure to Semantic Relationship: Hypemym Extraction from Definitions by Recurrent Neural Networks Using the Part of Speech Information 2020 Tan, Yixin
Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding 2020 Xu, Chenjin
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Enhancing Online Knowledge Graph Population with Semantic Knowledge 2020 Fernàndez-Cañellas, Dèlia
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FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation 2020 Jozashoori, Samaneh
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers 2020 Kruit, Benno
Rule-Guided Graph Neural Networks for Recommender Systems 2020 Lyu, Xinze
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them 2020 Nayyeri, Mojtaba
Generating Expressive Correspondences: An Approach Based on User Knowledge Needs and A-Box Relation Discovery 2020 Thiéblin, Elodie
PreFace: Faceted Retrieval of Prerequisites Using Domain-Specific Knowledge Bases 2020 Upadhyay, Prajna
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