Must-read papers on entity alignment published in recent years
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Updated
Oct 10, 2023
Must-read papers on entity alignment published in recent years
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.
Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.
Codes for WWW2022 accepted paper: SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.
MMEA: Entity Alignment for Multi-Modal Knowledge Graphs, KSEM 2020
Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
Source code for LargeEA: Aligning Entities for Large-scale Knowledge Graphs, VLDB 2022
Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)
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