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Entity Alignment

13 papers with code · Natural Language Processing

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Jointly Learning Entity and Relation Representations for Entity Alignment

IJCNLP 2019 THU-KEG/Entity_Alignment_Papers

Entity alignment is a viable means for integrating heterogeneous knowledge among different knowledge graphs (KGs).

ENTITY ALIGNMENT ENTITY EMBEDDINGS KNOWLEDGE GRAPHS

Multi-view Knowledge Graph Embedding for Entity Alignment

6 Jun 2019THU-KEG/Entity_Alignment_Papers

Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.

ENTITY ALIGNMENT KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS

Recurrent Skipping Networks for Entity Alignment

6 Nov 2018THU-KEG/Entity_Alignment_Papers

We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA).

ENTITY ALIGNMENT

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

13 May 2019nju-websoft/RSN

Moreover, triple-level learning is insufficient for the propagation of semantic information among entities, especially for the case of cross-KG embedding.

ENTITY ALIGNMENT KNOWLEDGE GRAPHS

Deep Graph Matching Consensus

27 Jan 2020rusty1s/deep-graph-matching-consensus

This work presents a two-stage neural architecture for learning and refining structural correspondences between graphs.

ENTITY ALIGNMENT GRAPH MATCHING KNOWLEDGE GRAPHS

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

16 Aug 2017nju-websoft/JAPE

Our experimental results on real-world datasets show that this approach significantly outperforms the state-of-the-art embedding approaches for cross-lingual entity alignment and could be complemented with methods based on machine translation.

ENTITY ALIGNMENT MACHINE TRANSLATION

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

10 Mar 2020nju-websoft/OpenEA

This study surveys 23 recent embedding-based entity alignment approaches and categorizes them based on their techniques and characteristics.

ENTITY ALIGNMENT KNOWLEDGE GRAPHS

Multi-Channel Graph Neural Network for Entity Alignment

ACL 2019 thunlp/MuGNN

Entity alignment typically suffers from the issues of structural heterogeneity and limited seed alignments.

ENTITY ALIGNMENT

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

IJCNLP 2019 THU-KEG/KECG

Specifically, as for the knowledge embedding model, we utilize TransE to implicitly complete two KGs towards consistency and learn relational constraints between entities.

ENTITY ALIGNMENT KNOWLEDGE GRAPHS

Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

22 Aug 2019StephanieWyt/RDGCN

Entity alignment is the task of linking entities with the same real-world identity from different knowledge graphs (KGs), which has been recently dominated by embedding-based methods.

ENTITY ALIGNMENT ENTITY EMBEDDINGS KNOWLEDGE GRAPHS