mlsanityData to 14 Oct 2026

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models

arXiv 2305.14651 ↗First posted 24 May 2023cs.CL cs.IR cs.LGcited by 8

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Abstract (arXiv)

Recent embedding-based methods have achieved great successes in exploiting entity alignment from knowledge graph (KG) embeddings of multiple modalities. In this paper, we study embedding-based entity alignment (EEA) from a perspective of generative models. We show that EEA shares similarities with typical generative models and prove the effectiveness of the recently developed generative adversarial network (GAN)-based EEA methods theoretically. We then reveal that their incomplete objective limits the capacity on both entity alignment and entity synthesis (i.e., generating new entities). We mitigate this problem by introducing a generative EEA (GEEA) framework with the proposed mutual variational autoencoder (M-VAE) as the generative model. M-VAE enables entity conversion between KGs and generation of new entities from random noise vectors. We demonstrate the power of GEEA with theoretical analysis and empirical experiments on both entity alignment and entity synthesis tasks.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 34 of its 50 references that are in the map. First posted on arXiv 24 May 2023.

Builds on

34 of 50 references.

References · 34

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22 more
  1. 2021Symbolic Music Generation with Diffusion Modelscited by 154
  2. 2016Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignmentcited by 128
  3. 2017Cross-lingual Entity Alignment via Joint Attribute-Preserving Embeddingcited by 127
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  6. 2019Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregationcited by 101
  7. 2019Multi-Channel Graph Neural Network for Entity Alignmentcited by 86
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  14. 2022MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybridcited by 30
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  16. 2021Knowing the No-match: Entity Alignment with Dangling Casescited by 20
  17. 2019General Video Game Rule Generationcited by 17
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  19. 2022An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detectioncited by 7
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  22. 2022Deep Reinforcement Learning for Entity Alignmentcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 1; 2026: 2.

8 papers.

  1. 2024Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Surveycited by 53
  2. 2023Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignmentcited by 21
  3. 2024Noise-powered Multi-modal Knowledge Graph Representation Frameworkcited by 7
  4. 2024ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignmentcited by 5
  5. 2024Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignmentcited by 2
  6. 2025Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspectivecited by 1
  7. 2026MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignmentcited by 0
  8. 2026Silence and Noise: Resolving Suppression and Overvaluation in Multimodal Entity Alignmentcited by 0