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ICDE 2024: "Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment"

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DESAlign

This repository is the code of our paper: "Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment", which has been accepted by ICDE 2024.

The dataset we processed can be downloaded at GoogleDrive

Environment

  • Python = 3.7
  • PyTorch = 1.6.0
  • numpy = 1.19.2
  • Transformers = 4.21.3
  • easydict = 1.10
  • unidecode = 1.3.6
  • tensorboard = 2.11.0

Cite

Please consider citing this paper if you find the code or data useful. Thanks a lot ~

@article{wang2024towards,
  title={Towards semantic consistency: Dirichlet energy driven robust multi-modal entity alignment},
  author={Wang, Yuanyi and Sun, Haifeng and Wang, Jiabo and Wang, Jingyu and Tang, Wei and Qi, Qi and Sun, Shaoling and Liao, Jianxin},
  journal={arXiv preprint arXiv:2401.17859},
  year={2024}
}

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ICDE 2024: "Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment"

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