NativE: Multi-modal Knowledge Graph Completion in the Wild-Reference-Cited by-同舟云学术

NativE: Multi-modal Knowledge Graph Completion in the Wild

Published:2024-07-10 Issue: Volume:2402 Page:91-101
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Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhang Yichi¹^ORCID,Chen Zhuo¹^ORCID,Guo Lingbing¹^ORCID,Xu Yajing²^ORCID,Hu Binbin³^ORCID,Liu Ziqi³^ORCID,Zhang Wen⁴^ORCID,Chen Huajun⁴^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, Zhejiang, China

2. Zhejiang Univerisity, Hangzhou, Zhejiang, China

3. Ant Group, Hangzhou, Zhejiang, China

4. Zhejiang University & Zhejiang University-Ant Group Joint Laboratory of Knowledge Graph, Hangzhou, Zhejiang, China

Funder

Zhejiang Provincial Natural Science Foundation of China

Ningbo Natural Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Yongjiang Talent Introduction Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657800

Reference67 articles.

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3. Antoine Bordes Nicolas Usunier Alberto García-Durán Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS. 2787--2795.

4. KBGAN: Adversarial Learning for Knowledge Graph Embeddings

5. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, and Qingming Huang. 2022. OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. In NeurIPS.