About

Entity Alignment is the task of finding entities in two knowledge bases that refer to the same real-world object. It plays a vital role in automatically integrating multiple knowledge bases.

Source: Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Greatest papers with code

Deep Graph Matching Consensus

ICLR 2020 getkeops/keops

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

Ranked #3 on Entity Alignment on DBP15k zh-en (using extra training data)

ENTITY ALIGNMENT GRAPH MATCHING KNOWLEDGE GRAPHS

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

10 Mar 2020nju-websoft/OpenEA

Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings.

ENTITY ALIGNMENT KNOWLEDGE GRAPHS

Multi-view Knowledge Graph Embedding for Entity Alignment

6 Jun 2019nju-websoft/MultiKE

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

ENTITY ALIGNMENT KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS

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

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

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation

20 Nov 2019nju-websoft/AliNet

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.

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.

Ranked #8 on Entity Alignment on DBP15k zh-en (using extra training data)

ENTITY ALIGNMENT ENTITY EMBEDDINGS KNOWLEDGE GRAPHS

Neighborhood Matching Network for Entity Alignment

ACL 2020 StephanieWyt/NMN

This paper presents Neighborhood Matching Network (NMN), a novel entity alignment framework for tackling the structural heterogeneity challenge.

ENTITY ALIGNMENT GRAPH SAMPLING 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