PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs

Author:

Ni Wenxin1ORCID,Xu Qianqian2ORCID,Jiang Yangbangyan3ORCID,Cao Zongsheng1ORCID,Cao Xiaochun4ORCID,Huang Qingming5ORCID

Affiliation:

1. SSKLOIS, IIE, CAS & SCS, UCAS, Beijing, China

2. IIP, ICT, CAS, Beijing, China

3. SCST, UCAS, Beijing, China

4. SSCST, Shenzhen Campus, SYSU, Shenzhen, China

5. SCST, UCAS, IIP, ICT, CAS, BDKM, CAS, & Peng Cheng Laboratory, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Youth Inno- vation Promotion Association CAS

Strategic Priority Research Program of Chinese Academy of Sciences

National Key R&D Program of China

Publisher

ACM

Reference44 articles.

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2. Awasthi , P. , Dikkala , N. , and Kamath , P . Do more negative samples necessarily hurt in contrastive learning ? In International Conference on Machine Learning ( 2022 ), vol. 162 of Proceedings of Machine Learning Research, PMLR , pp. 1101 -- 1116 . Awasthi, P., Dikkala, N., and Kamath, P. Do more negative samples necessarily hurt in contrastive learning? In International Conference on Machine Learning (2022), vol. 162 of Proceedings of Machine Learning Research, PMLR, pp. 1101--1116.

3. A semantic matching energy function for learning with multi-relational data

4. Bordes , A. , Usunier , N. , García-Durán , A. , Weston , J. , and Yakhnenko , O . Translating embeddings for modeling multi-relational data . In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013 ( 2013 ), pp. 2787 -- 2795 . Bordes, A., Usunier, N., García-Durán, A., Weston, J., and Yakhnenko, O. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013 (2013), pp. 2787--2795.

5. Multi-Channel Graph Neural Network for Entity Alignment

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