Embedding spanning bounded degree graphs in randomly perturbed graphs

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Mathematika(66, 2020), H. 2, S.422-447

Event: Veröffentlichung

(where): Ilmenau

(who): TU Ilmenau

(when): 2020

Creator: Böttcher, Julia
Montgomery, Richard
Parczyk, Olaf
Person, Yury

DOI: 10.1112/mtk.12005

URN: urn:nbn:de:101:1-2020062203064510090007

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:58 PM CET

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2020

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Spanning structures in random graphs and hypergraphs

Documenting Knowledge Graph Embedding and Link Prediction using Knowledge Graphs

Temporal Knowledge Graph Embedding and Reasoning

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Embedding spanning bounded degree graphs in randomly perturbed graphs

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Other Objects (12)

Universality for bounded degree spanning trees in randomly perturbed graphs

Hamiltonicity of graphs perturbed by a random regular graph

Bounded degree spanning trees

Spanning structures in random graphs and hypergraphs

Documenting Knowledge Graph Embedding and Link Prediction using Knowledge Graphs

Temporal Knowledge Graph Embedding and Reasoning

Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?

Neural graph distance embedding for molecular geometry generation

The complexity of embedding graphs into binary trees

Multiple Objective Learning for Effective Knowledge Graph Embedding

Embedding Based Link Prediction for Knowledge Graph Completion

Graph Embedding, Content Understanding, and Self-Supervised Learning

Universality for bounded degree spanning trees in randomly perturbed graphs

Hamiltonicity of graphs perturbed by a random regular graph

Bounded degree spanning trees

Spanning structures in random graphs and hypergraphs

Documenting Knowledge Graph Embedding and Link Prediction using Knowledge Graphs

Temporal Knowledge Graph Embedding and Reasoning

Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?

Neural graph distance embedding for molecular geometry generation

The complexity of embedding graphs into binary trees

Multiple Objective Learning for Effective Knowledge Graph Embedding

Embedding Based Link Prediction for Knowledge Graph Completion

Graph Embedding, Content Understanding, and Self-Supervised Learning

Universality for bounded degree spanning trees in randomly perturbed graphs

Hamiltonicity of graphs perturbed by a random regular graph

Bounded degree spanning trees

Spanning structures in random graphs and hypergraphs

Documenting Knowledge Graph Embedding and Link Prediction using Knowledge Graphs

Temporal Knowledge Graph Embedding and Reasoning

Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin?

Neural graph distance embedding for molecular geometry generation

The complexity of embedding graphs into binary trees

Multiple Objective Learning for Effective Knowledge Graph Embedding

Embedding Based Link Prediction for Knowledge Graph Completion

Graph Embedding, Content Understanding, and Self-Supervised Learning

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