RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs-Reference-Cited by-同舟云学术

RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs

Published:2022-10-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Joint Conference on Knowledge Graphs
language:
Short-container-title:

Author:

Gesese Genet Asefa¹^ORCID,Sack Harald²^ORCID,Alam Mehwish²^ORCID

Affiliation:

1. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany and Karlsruhe Institute of Technology, Institute AIFB, Germany

2. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany and Karlsruhe Institute of Technology,Institute AIFB, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579051.3579066

Reference28 articles.

1. Mehdi Ali Max Berrendorf Mikhail Galkin Veronika Thost Tengfei Ma Volker Tresp and Jens Lehmann. 2021. Improving Inductive Link Prediction Using Hyper-Relational Facts. In SEMWEB. Mehdi Ali Max Berrendorf Mikhail Galkin Veronika Thost Tengfei Ma Volker Tresp and Jens Lehmann. 2021. Improving Inductive Link Prediction Using Hyper-Relational Facts. In SEMWEB.

2. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In NIPS. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In NIPS.

3. Louis Clouâtre , Philippe Trempe , Amal Zouaq , and Sarath Chandar . 2021 . MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In Findings of ACL/IJCNLP(Findings of ACL, Vol. ACL/IJCNLP 2021). Association for Computational Linguistics , 4321–4331. Louis Clouâtre, Philippe Trempe, Amal Zouaq, and Sarath Chandar. 2021. MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In Findings of ACL/IJCNLP(Findings of ACL, Vol. ACL/IJCNLP 2021). Association for Computational Linguistics, 4321–4331.

4. Inductive Entity Representations from Text via Link Prediction

5. Convolutional 2D Knowledge Graph Embeddings

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inductive reasoning with type-constrained encoding for emerging entities;Neural Networks;2024-10

2. Towards semantically enriched embeddings for knowledge graph completion;Neurosymbolic Artificial Intelligence;2024-08-21

3. SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding;Knowledge-Based Systems;2024-01

4. Attention-guided graph convolutional network for multi-behavior recommendation;Knowledge-Based Systems;2023-11