mlsanityData to 7 Oct 2026

Visual Pivoting for (Unsupervised) Entity Alignment

arXiv 2009.13603 ↗First posted 28 Sep 2020cs.CL cs.AIcited by 46

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Abstract (arXiv)

This work studies the use of visual semantic representations to align entities in heterogeneous knowledge graphs (KGs). Images are natural components of many existing KGs. By combining visual knowledge with other auxiliary information, we show that the proposed new approach, EVA, creates a holistic entity representation that provides strong signals for cross-graph entity alignment. Besides, previous entity alignment methods require human labelled seed alignment, restricting availability. EVA provides a completely unsupervised solution by leveraging the visual similarity of entities to create an initial seed dictionary (visual pivots). Experiments on benchmark data sets DBP15k and DWY15k show that EVA offers state-of-the-art performance on both monolingual and cross-lingual entity alignment tasks. Furthermore, we discover that images are particularly useful to align long-tail KG entities, which inherently lack the structural contexts necessary for capturing the correspondences.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Sep 2020.

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Citing papers per year: 2021: 2; 2022: 11; 2023: 14; 2024: 9; 2025: 5; 2026: 5.

46 papers.

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  1. 2022Multi-modal Contrastive Representation Learning for Entity Alignmentcited by 37
  2. 2023SGAligner : 3D Scene Alignment with Scene Graphscited by 30
  3. 2022MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybridcited by 29
  4. 2023Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignmentcited by 23
  5. 2021Knowing the No-match: Entity Alignment with Dangling Casescited by 20
  6. 2022ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similaritiescited by 20
  7. 2023Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignmentcited by 20
  8. 2023Unsupervised Entity Alignment for Temporal Knowledge Graphscited by 19
  9. 2023Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignmentcited by 19
  10. 2023Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transportcited by 15
  11. 2022Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embeddingcited by 9
  12. 2022Interactive Contrastive Learning for Self-supervised Entity Alignmentcited by 7
34 more
  1. 2022Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformercited by 7
  2. 2022A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphscited by 7
  3. 2023Revisit and Outstrip Entity Alignment: A Perspective of Generative Modelscited by 7
  4. 2024Noise-powered Multi-modal Knowledge Graph Representation Frameworkcited by 7
  5. 2021VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignmentcited by 6
  6. 2023Deep Active Alignment of Knowledge Graph Entities and Schematacited by 6
  7. 2023From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignmentcited by 6
  8. 2023Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignmentcited by 6
  9. 2024Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignmentcited by 6
  10. 2024ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignmentcited by 5
  11. 2024Progressively Modality Freezing for Multi-Modal Entity Alignmentcited by 5
  12. 2022Dangling-Aware Entity Alignment with Mixed High-Order Proximitiescited by 4
  13. 2024IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignmentcited by 3
  14. 2022Guiding Neural Entity Alignment with Compatibilitycited by 2
  15. 2022Dependency-aware Self-training for Entity Alignmentcited by 2
  16. 2023Retail-786k: a Large-Scale Dataset for Visual Entity Matchingcited by 2
  17. 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Pathscited by 2
  18. 2024Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignmentcited by 2
  19. 2024LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignmentcited by 2
  20. 2025Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignmentcited by 2
  21. 2023Unsupervised Deep Cross-Language Entity Alignmentcited by 1
  22. 2025Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspectivecited by 1
  23. 2025Object-X: Learning to Reconstruct Multi-Modal 3D Object Representationscited by 1
  24. 2022Training Free Graph Neural Networks for Graph Matchingcited by 0
  25. 2023MixTEA: Semi-supervised Entity Alignment with Mixture Teachingcited by 0
  26. 2024Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagationcited by 0
  27. 2024Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Textscited by 0
  28. 2025Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Treecited by 0
  29. 2025Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validationcited by 0
  30. 2026MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignmentcited by 0
  31. 2026PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignmentcited by 0
  32. 2026Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Surveycited by 0
  33. 2026Time Imprint: Learning Time-Aware Representations in Multi-Modal Knowledge Graphscited by 0
  34. 2026Knowing When to Trust Images: Reliability-Aware Multi-modal Entity Alignmentcited by 0