mlsanityData to 14 Oct 2026

LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation

arXiv 2210.10436 ↗First posted 19 Oct 2022cs.AI cs.CLcited by 18

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Abstract (arXiv)

Entity Alignment (EA) aims to find equivalent entity pairs between KGs, which is the core step of bridging and integrating multi-source KGs. In this paper, we argue that existing GNN-based EA methods inherit the inborn defects from their neural network lineage: weak scalability and poor interpretability. Inspired by recent studies, we reinvent the Label Propagation algorithm to effectively run on KGs and propose a non-neural EA framework -- LightEA, consisting of three efficient components: (i) Random Orthogonal Label Generation, (ii) Three-view Label Propagation, and (iii) Sparse Sinkhorn Iteration. According to the extensive experiments on public datasets, LightEA has impressive scalability, robustness, and interpretability. With a mere tenth of time consumption, LightEA achieves comparable results to state-of-the-art methods across all datasets and even surpasses them on many.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). Builds on 25 of its 41 references that are in the map. First posted on arXiv 19 Oct 2022.

Builds on

25 of 41 references.

References · 25

  1. 2017Billion-scale similarity search with GPUscited by 2,497
  2. 2013Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distancescited by 2,316
  3. 2018Additive Margin Softmax for Face Verificationcited by 278
  4. 2020Combining Label Propagation and Simple Models Out-performs Graph Neural Networkscited by 202
  5. 2016Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignmentcited by 128
  6. 2017Cross-lingual Entity Alignment via Joint Attribute-Preserving Embeddingcited by 127
  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. 2020Unifying Graph Convolutional Neural Networks and Label Propagationcited by 98
  10. 2019Multi-Channel Graph Neural Network for Entity Alignmentcited by 86
  11. 2020Deep Graph Matching Consensuscited by 85
  12. 2019Learning to Exploit Long-term Relational Dependencies in Knowledge Graphscited by 83
13 more
  1. 2019Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Networkcited by 68
  2. 2020Relational Reflection Entity Alignmentcited by 53
  3. 2018Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignmentcited by 49
  4. 2019Aligning Cross-Lingual Entities with Multi-Aspect Informationcited by 46
  5. 2020Neighborhood Matching Network for Entity Alignmentcited by 44
  6. 2020TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphscited by 41
  7. 2021Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Miningcited by 37
  8. 2020Knowledge Association with Hyperbolic Knowledge Graph Embeddingscited by 31
  9. 2020GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systemscited by 29
  10. 2021LargeEA: Aligning Entities for Large-scale Knowledge Graphscited by 26
  11. 2021From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignmentcited by 26
  12. 2022ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similaritiescited by 20
  13. 2020Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignmentcited by 15

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 7; 2024: 8; 2025: 2; 2026: 1.

18 papers.

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  1. 2023A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignmentcited by 16
  2. 2024Neuro-Symbolic Entity Alignment via Variational Inferencecited by 8
  3. 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Casescited by 3
  4. 2023Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignmentcited by 2
  5. 2023Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Pathscited by 2
  6. 2024Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decodingcited by 2
  7. 2024Aligning Multiple Knowledge Graphs in a Single Passcited by 2
  8. 2023An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagationcited by 1
  9. 2023Unsupervised Deep Cross-Language Entity Alignmentcited by 1
  10. 2024NALA: an Effective and Interpretable Entity Alignment Methodcited by 1
  11. 2025Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA modelcited by 1
  12. 2023Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignmentcited by 0
6 more
  1. 2023OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignmentcited by 0
  2. 2024Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagationcited by 0
  3. 2024Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Textscited by 0
  4. 2024DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphscited by 0
  5. 2025Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Treecited by 0
  6. 2026Towards Effective and Efficient Graph Alignment without Supervisioncited by 0