Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment
<|reference_start|>Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment: Multi-modal entity alignment (MMEA) aims to identify equivalent entity pairs across different multi-modal knowledge graphs (MMKGs). Existing approaches focus on how to better encode and aggregate information from different modalities. However, it is not trivial to leverage multi-modal knowledge in entity alignment due to the modal heterogeneity. In this paper, we propose a Multi-Grained Interaction framework for Multi-Modal Entity Alignment (MIMEA), which effectively realizes multi-granular interaction within the same modality or between different modalities. MIMEA is composed of four modules: i) a Multi-modal Knowledge Embedding module, which extracts modality-specific representations with multiple individual encoders; ii) a Probability-guided Modal Fusion module, which employs a probability guided approach to integrate uni-modal representations into joint-modal embeddings, while considering the interaction between uni-modal representations; iii) an Optimal Transport Modal Alignment module, which introduces an optimal transport mechanism to encourage the interaction between uni-modal and joint-modal embeddings; iv) a Modal-adaptive Contrastive Learning module, which distinguishes the embeddings of equivalent entities from those of non-equivalent ones, for each modality. Extensive experiments conducted on two real-world datasets demonstrate the strong performance of MIMEA compared to the SoTA. Datasets and code have been submitted as supplementary materials.<|reference_end|>
@article{hu2024leveraging,
    title={Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal
  Entity Alignment},
    author={Zhiwei Hu, V'ictor Guti'errez-Basulto, Zhiliang Xiang, Ru Li, Jeff
  Z. Pan},
    journal={arXiv preprint arXiv:2404.17590},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.17590},
    primaryClass={cs.IR cs.AI}
}