May 24, 2023 · In this paper, we study embedding-based entity alignment (EEA) from a perspective of generative models. We show that EEA shares similarities ...
Nov 11, 2023 · This approach facilitates the encoding and decoding of entities between source and target knowledge graphs (KGs), and extends to the generation of new entities.
Feb 24, 2024 · This paper presents a theoretical analysis of how generative models can enhance EEA learning and introduces GEEA to address the limitations of ...
This repository is the official implementation of Revisit and Outstrip Entity Alignment: A Perspective of Generative Models, ICLR 2024.
May 23, 2023 · We show that EEA is a special problem where the main objective is analogous to that in a typical generative model, based on which we ...
In this paper, we study embedding-based entity alignment (EEA) from a perspective ... generative models contribute to entity alignment learning, and then discuss ...
Revisit and outstrip entity alignment: A perspective of generative models. L Guo, Z Chen, J Chen, Y Fang, W Zhang, H Chen. arXiv preprint arXiv:2305.14651, 2023.
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models Lingbing Guo*, Zhuo Chen*, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen ICLR ...
This paper introduces MEAformer, a multi-modal entity alignment transformer approach for meta modality hybrid, which dynamically predicts the mutual ...
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Aug 8, 2024 · Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. ICLR 2024. [c11]. view. electronic edition via DOI; unpaywalled ...