Improvement on message passing of hyper-relational knowledge graph-Reference-Cited by-同舟云学术

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Improvement on message passing of hyper-relational knowledge graph

Published:2022-12-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science
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Author:

Wang Zhaokun¹^ORCID,Hui Bei¹^ORCID,Zhou Xue¹^ORCID,Wu Yanping¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584748.3584750

Reference23 articles.

1. Teru, K. , Denis, E. , & Hamilton, W. . 2020 . Inductive Relation Prediction by Subgraph Reasoning . International Conference on Machine Learning. PMLR. Teru, K. , Denis, E. , & Hamilton, W. . 2020. Inductive Relation Prediction by Subgraph Reasoning. International Conference on Machine Learning. PMLR.

2. Yadati N. Nimishakavi M. Yadav P. Nitin V. Louis A. & Talukdar P. P. . 2019. HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. Neural Information Processing Systems. Yadati N. Nimishakavi M. Yadav P. Nitin V. Louis A. & Talukdar P. P. . 2019. HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. Neural Information Processing Systems.

3. Wikidata through the eyes of DBpedia

4. Wikidata

5. Freebase

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