mlsanityData to 14 Oct 2026

Multi-modal Contrastive Representation Learning for Entity Alignment

arXiv 2209.00891 ↗First posted 2 Sep 2022cs.CL cs.AI cs.LGcited by 38

Not on the map. Why?

Abstract (arXiv)

Multi-modal entity alignment aims to identify equivalent entities between two different multi-modal knowledge graphs, which consist of structural triples and images associated with entities. Most previous works focus on how to utilize and encode information from different modalities, while it is not trivial to leverage multi-modal knowledge in entity alignment because of the modality heterogeneity. In this paper, we propose MCLEA, a Multi-modal Contrastive Learning based Entity Alignment model, to obtain effective joint representations for multi-modal entity alignment. Different from previous works, MCLEA considers task-oriented modality and models the inter-modal relationships for each entity representation. In particular, MCLEA firstly learns multiple individual representations from multiple modalities, and then performs contrastive learning to jointly model intra-modal and inter-modal interactions. Extensive experimental results show that MCLEA outperforms state-of-the-art baselines on public datasets under both supervised and unsupervised settings.

Key facts. Cited by 38 papers in the map (data through 14 Oct 2026). Builds on 24 of its 40 references that are in the map. First posted on arXiv 2 Sep 2022.

Builds on

24 of 40 references.

References · 24

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,049
  3. 2015Distilling the Knowledge in a Neural Networkcited by 10,324
  4. 2017Graph Attention Networkscited by 8,923
  5. 2020Supervised Contrastive Learningcited by 2,829
  6. 2017Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semanticscited by 1,358
  7. 2020A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphscited by 120
  8. 2019Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphscited by 106
  9. 2019MMKG: Multi-Modal Knowledge Graphscited by 105
  10. 2019Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregationcited by 101
  11. 2019Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferencescited by 87
  12. 2019Multi-Channel Graph Neural Network for Entity Alignmentcited by 86
12 more
  1. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 78
  2. 2019Multi-view Knowledge Graph Embedding for Entity Alignmentcited by 74
  3. 2019Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Networkcited by 68
  4. 2020Exploring and Evaluating Attributes, Values, and Structures for Entity Alignmentcited by 63
  5. 2020Relational Reflection Entity Alignmentcited by 53
  6. 2020Visual Pivoting for (Unsupervised) Entity Alignmentcited by 47
  7. 2019Aligning Cross-Lingual Entities with Multi-Aspect Informationcited by 46
  8. 2021From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignmentcited by 26
  9. 2021OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embeddingcited by 19
  10. 2021Multi-modal Entity Alignment in Hyperbolic Spacecited by 19
  11. 2021Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embeddingcited by 18
  12. 2020An Industry Evaluation of Embedding-based Entity Alignmentcited by 15

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 10; 2024: 12; 2025: 8; 2026: 7.

38 papers.

Sort:

By area:

  1. 2024Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Surveycited by 53
  2. 2022MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybridcited by 30
  3. 2023SGAligner : 3D Scene Alignment with Scene Graphscited by 30
  4. 2024SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphscited by 29
  5. 2023Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignmentcited by 24
  6. 2023Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignmentcited by 21
  7. 2023Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingcited by 18
  8. 2023A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignmentcited by 16
  9. 2023Revisit and Outstrip Entity Alignment: A Perspective of Generative Modelscited by 8
  10. 2024Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignmentcited by 8
  11. 2025Mitigating Modal Imbalance in Multimodal Reasoningcited by 8
  12. 2023Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignmentcited by 7
26 more
  1. 2024Noise-powered Multi-modal Knowledge Graph Representation Frameworkcited by 7
  2. 2023From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignmentcited by 6
  3. 2024Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignmentcited by 6
  4. 2024Learning from Negative Samples in Biomedical Generative Entity Linkingcited by 6
  5. 2024ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignmentcited by 5
  6. 2024Progressively Modality Freezing for Multi-Modal Entity Alignmentcited by 5
  7. 2025UniMoCo: Unified Modality Completion for Robust Multi-Modal Embeddingscited by 5
  8. 2025Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphscited by 3
  9. 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Pathscited by 2
  10. 2024Biomedical Entity Linking as Multiple Choice Question Answeringcited by 2
  11. 2024Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignmentcited by 2
  12. 2024LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignmentcited by 2
  13. 2025SGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignmentcited by 2
  14. 2025Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignmentcited by 2
  15. 2025Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspectivecited by 1
  16. 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reductioncited by 1
  17. 2025Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA modelcited by 1
  18. 2023MixTEA: Semi-supervised Entity Alignment with Mixture Teachingcited by 0
  19. 2024COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typingcited by 0
  20. 2026MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignmentcited by 0
  21. 2026DriveXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understandingcited by 0
  22. 2026Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichmentcited by 0
  23. 2026CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphscited by 0
  24. 2026PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphscited by 0
  25. 2026Knowing When to Trust Images: Reliability-Aware Multi-modal Entity Alignmentcited by 0
  26. 2026Silence and Noise: Resolving Suppression and Overvaluation in Multimodal Entity Alignmentcited by 0