Skip to content

Awesome Entity Alignment is a collection of EA techniques, including papers, codes, and datasets.

Notifications You must be signed in to change notification settings

Xiefeng69/Awesome-Entity-Alignment

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 

Repository files navigation

Awesome Entity Alignment

Surveys

Year Title Venue Paper Code
2020 A benchmarking study of embedding-based entity alignment for knowledge graphs VLDB
2021 A comprehensive survey of entity alignment for knowledge graphs AI Open
2022 An Experimental Study of State-of-the-Art Entity Alignment Approaches TKDE

Papers

Year Abbr. Title Venue Paper Code
2017 MTransE Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment IJCAI
2017 IPTransE Iterative Entity Alignment via Knowledge Embeddings IJCAI
2017 JAPE Cross-lingual entity alignment via joint attribute-preserving embedding ISWC
2018 BootEA Bootstrapping Entity Alignment with Knowledge Graph Embedding IJCAI
2018 GCN-Align Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks EMNLP
2019 RSNs Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs ICML
2019 Two-stage entity alignment: Combining hybrid knowledge graph embedding with similarity-based relation alignment PRICAI
2019 AliNet Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation AAAI
2019 Entity Alignment between Knowledge Graphs Using Attribute AAAI
2019 SEA Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference
2019 GMNN Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network ACL
2019 MuGNN Multi-Channel Graph Neural Network for Entity Alignment ACL
2019 RDGCN Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs ACL
2019 TransEdge TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs ISWC
2019 HMAN Aligning Cross-Lingual Entities with Multi-Aspect Information EMNLP
2019 Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model EMNLP
2019 HGCN Jointly Learning Entity and Relation Representations for Entity Alignment EMNLP
2019 MultiKE Multi-view Knowledge Graph Embedding for Entity Alignment IJCAI
2019 NAEA Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs IJCAI
2020 DAT Degree-Aware Alignment for Entities in Tail SIGIR
2020 NMN Neighborhood Matching Network for Entity Alignment ACL
2020 REA Robust Cross-lingual Entity Alignment between Knowledge Graphs KDD
2020 HyperKE Knowledge Association with Hyperbolic Knowledge Graph Embeddings EMNLP
2020 AttrGNN Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP
2020 MRAEA MRAEA: An efficient and robust entity alignment approach for cross-lingual knowledge graph WSDM
2020 REA Relational Reflection Entity Alignment CIKM
2020 CEA Collective entity alignment via adaptive features ICDE
2020 JarKA JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment PAKDD [code]
2020 Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks TKDE
2021 Network Alignment with Holistic Embeddings TKDE
2021 Towards Entity Alignment in the Open World: An Unsupervised Approach DASFAA
2021 EVA Visual Pivoting for (Unsupervised) Entity Alignment AAAI
2021 Relation-Aware Neighborhood Matching Model for Entity Alignment AAAI
2021 EASY Make It Easy: An Effective End-to-End Entity Alignment Framework SIGIR
2021 LargeEA LargeEA: Aligning Entities for Large-scale Knowledge Graphs VLDB
2021 RAC Reinforced Active Entity Alignment CIKM
2021 PSR Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness CIKM
2021 KE-GCN Knowledge Embedding Based Graph Convolutional Network WWW
2021 Boosting the speed of entity alignment 10X: dual attention matching network with normalized hard sample mining WWW
2022 Temporal Knowledge Graph Entity Alignment via Representation Learning DASFAA
2022 Ensemble Semi-supervised Entity Alignment via Cycle-teaching AAAI
2022 Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment ACL
2022 An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism ACL
2022 Understanding and Improving Knowledge Graph Embedding for Entity Alignment ICML
2022 Dangling-Aware Entity Alignment with Mixed High-Order Proximities NAACL
2022 IMEA Informed multi-context entity alignment WSDM
2022 Graph Alignment with Noisy Supervision WWW
2022 Uncertainty-aware Pseudo Label Refinery for Entity Alignment WWW
2022 SelfKG SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs WWW [Code]
2022 ContEA Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs ISWC
2022 Semantics Driven Embedding Learning for Effective Entity Alignment ICDE
2022 Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding CIKM
2022 Interactive Contrastive Learning for Self-Supervised Entity Alignment CIKM
2022 Multi-modal Contrastive Representation Learning for Entity Alignment COLING
2022 RoadEA Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method TKDE
2022 A multiscale convolutional gragh network using only structural information for entity alignment Applied Intelligence

Datasets

Dataset names tasks Languages #Entities Venue Link
DBP15K ZH-EN, JA-EN, FR-EN Cross-lingual 15K ISWC2017 [Link]
DWY100K DBP-WD, DBP-YG English 100K IJCAI2018 [Link]
SRPRS EN-FR, EN-DE Cross-lingual Normal/Dense ICML2019 [Link]
OpenEA (IDS) EN-FR-15K, EN-DE-15K Cross-lingual 15K VLDB2020 [Link]
D-W-15K, D-Y-15K English 15K
EN-FR-100K, EN-DE-100K Cross-lingual 100K
D-W-100K, D-Y-100K English 100K
DBP1M EN-FR, EN-DE Cross-lingual 1M VLDB2021 [Link]

D means DBpedia, W means Wikidata, and Y means YOGO3.

SRPRS means segment-based random PageRank sampling, while IDS means Iterative degree-based sampling. Both of them indicates that several EA benchmarks (e.g., DBP15K and DWY100K) contain much more highdegree entities than real-world KGs do.

DBP1M was proposed by LargeEA, which mainly focus on the Large-scale Knowledge Graphs.

About

Awesome Entity Alignment is a collection of EA techniques, including papers, codes, and datasets.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published