Learning continuous representations for Knowledge Graphs

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Paderborn, Universität Paderborn, Dissertation, 2023

Keyword: Maschinelles Lernen
Eingebettetes System
Wissensrepräsentation

Event: Veröffentlichung

(where): Paderborn

(who): Universitätsbibliothek

(when): 2023

Creator: Demir, Caglar

URN: urn:nbn:de:hbz:466:2-45448

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 AM CEST

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Demir, Caglar
Universitätsbibliothek

Time of origin

2023

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Wigner's "continuous-spin" representations reconsidered

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Admissible representations for continuous computations

Question answering over knowledge bases with continuous learning

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Knowledge Graph Injection for Reinforcement Learning

Efficient Symbolic Learning over Knowledge Graphs

Relational learning on temporal knowledge graphs

Visual Transfer Learning using Knowledge Graphs

Knowledge-Graph based Question Answering by Graph Pattern Learning

Iterative heterogeneous graph learning for knowledge graph-based recommendation

zweidimensionales bewegtes Bild

Wigner's "continuous-spin" representations reconsidered

Hochschulschrift

Admissible representations for continuous computations

Question answering over knowledge bases with continuous learning

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Learning continuous representations for Knowledge Graphs

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Time of origin

Other Objects (12)

Learning Neural Graph Representations in Non-Euclidean Geometries

Learning compact graph representations via an encoder-decoder network

Knowledge Graph Injection for Reinforcement Learning

Efficient Symbolic Learning over Knowledge Graphs

Relational learning on temporal knowledge graphs

Visual Transfer Learning using Knowledge Graphs

Knowledge-Graph based Question Answering by Graph Pattern Learning

Iterative heterogeneous graph learning for knowledge graph-based recommendation

Wigner's "continuous-spin" representations reconsidered

Admissible representations for continuous computations

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Question answering over knowledge bases with continuous learning

Learning Neural Graph Representations in Non-Euclidean Geometries

Learning compact graph representations via an encoder-decoder network

Knowledge Graph Injection for Reinforcement Learning

Efficient Symbolic Learning over Knowledge Graphs

Relational learning on temporal knowledge graphs

Visual Transfer Learning using Knowledge Graphs

Knowledge-Graph based Question Answering by Graph Pattern Learning

Iterative heterogeneous graph learning for knowledge graph-based recommendation

Wigner's "continuous-spin" representations reconsidered

Admissible representations for continuous computations

Admissible representations for continuous computations

Question answering over knowledge bases with continuous learning

Learning Neural Graph Representations in Non-Euclidean Geometries

Learning compact graph representations via an encoder-decoder network

Knowledge Graph Injection for Reinforcement Learning

Efficient Symbolic Learning over Knowledge Graphs

Relational learning on temporal knowledge graphs

Visual Transfer Learning using Knowledge Graphs

Knowledge-Graph based Question Answering by Graph Pattern Learning

Iterative heterogeneous graph learning for knowledge graph-based recommendation

Wigner's "continuous-spin" representations reconsidered

Admissible representations for continuous computations

Admissible representations for continuous computations

Question answering over knowledge bases with continuous learning

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