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Cited by 2Advanced Graph Neural NetworksTopic ModelingRecommender Systems and Techniques

ProjR: Embedding Structure Diversity for Knowledge Graph Completion

Zhang, Wen, Li, Juan, Chen, Huajun·2018·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-99495-6_13
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Crossref · 10.1007/978-3-319-99495-6_13

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1 of 1 references verified0 citation errors · 0 not checkable

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  • ProjR can model N-1, N-N, 1-N-1 and one-relation circle structures with the advantage of a combination operator design.

    “It can model N-1, N-N, 1-N-1 and one-relation circle structures with the advantage of a combination operator design.”

    From A Survey on Knowledge Graph Embeddings for Link Prediction (2021) · cites this paper as [178]

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Authors
Zhang, W., Li, J., & Chen, H.
Affiliations
Zhejiang University (CN)
Corresponding author
Chen, Huajun
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2018
Pages
145-157
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-99495-6_13
OpenAlex
W2886448622
Cited by
2
References
1
Citations by year
2021: 1 · 2019: 1
FWCI
0.20
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Graph Neural Networks
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
Keywords
knowledge graph completion, knowledge graph embedding, structural diversity, TransR, link prediction, entity representation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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