Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation

Shichao Pei; Ziyi Kou; Qiannan Zhang; Xiangliang Zhang

doi:10.1145/3580305.3599350

Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation

Shichao Pei
, Ziyi Kou
, Qiannan Zhang
, Xiangliang Zhang

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	1862-1871
Number of pages	10
ISBN (Electronic)	9798400701030
DOIs	https://doi.org/10.1145/3580305.3599350
State	Published - Aug 4 2023
Event	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023 - Long Beach, United States Duration: Aug 6 2023 → Aug 10 2023

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
ISSN (Print)	2154-817X

Conference

Conference	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Country/Territory	United States
City	Long Beach
Period	8/6/23 → 8/10/23

ASJC Scopus Subject Areas

Software
Information Systems

Keywords

few-shot learning
knowledge graph completion
knowledge graphs
multi-view learning

Access to Document

10.1145/3580305.3599350

Cite this

Pei, S., Kou, Z., Zhang, Q., & Zhang, X. (2023). Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 1862-1871). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599350

Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. / Pei, Shichao; Kou, Ziyi; Zhang, Qiannan et al.
KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. p. 1862-1871 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pei, S, Kou, Z, Zhang, Q & Zhang, X 2023, Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. in KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 1862-1871, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, United States, 8/6/23. https://doi.org/10.1145/3580305.3599350

Pei S, Kou Z, Zhang Q, Zhang X. Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2023. p. 1862-1871. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3580305.3599350

Pei, Shichao ; Kou, Ziyi ; Zhang, Qiannan et al. / Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. pp. 1862-1871 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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title = "Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation",

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ER -

Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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