Entity Alignment
Leaderboards
Greatest papers with code
Jointly Learning Entity and Relation Representations for Entity Alignment
IJCNLP 2019
• THU-KEG/Entity_Alignment_Papers
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Entity alignment is a viable means for integrating heterogeneous knowledge among different knowledge graphs (KGs).
Multi-view Knowledge Graph Embedding for Entity Alignment
• THU-KEG/Entity_Alignment_Papers
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Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.
Recurrent Skipping Networks for Entity Alignment
• THU-KEG/Entity_Alignment_Papers
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We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA).
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
• nju-websoft/RSN
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Moreover, triple-level learning is insufficient for the propagation of semantic information among entities, especially for the case of cross-KG embedding.
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
• nju-websoft/JAPE
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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.
Deep Graph Matching Consensus
• rusty1s/deep-graph-matching-consensus
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This work presents a two-stage neural architecture for learning and refining structural correspondences between graphs.
Multi-Channel Graph Neural Network for Entity Alignment
ACL 2019
• thunlp/MuGNN
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Entity alignment typically suffers from the issues of structural heterogeneity and limited seed alignments.
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
Specifically, as for the knowledge embedding model, we utilize TransE to implicitly complete two KGs towards consistency and learn relational constraints between entities.
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
As the direct neighbors of counterpart entities are usually dissimilar due to the schema heterogeneity, AliNet introduces distant neighbors to expand the overlap between their neighborhood structures.
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
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.