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.

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

MMEA: Entity Alignment for Multi-Modal Knowledge Graphs, KSEM 2020

Source code for LargeEA: Aligning Entities for Large-scale Knowledge Graphs, VLDB 2022

Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)