Entity Alignment

106 papers with code • 10 benchmarks • 8 datasets

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.
Note: results that have incorporated machine translated entity names (introduced in the RDGCN paper) or pre-alignment name embeddings are considered to have used extra training labels (both are marked with "Extra Training Data" in the leaderboard) and are not adhere to a comparable setting with others that have followed the original setting of the benchmark.

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

The task of entity alignment is related to the task of entity resolution which focuses on matching structured entity descriptions in different contexts.

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework

zjukg/snag 11 Mar 2024

In this work, to evaluate models' ability to accurately embed entities within MMKGs, we focus on two widely researched tasks: Multi-modal Knowledge Graph Completion (MKGC) and Multi-modal Entity Alignment (MMEA).

4
11 Mar 2024

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

zjukg/MEAformer 16 Feb 2024

Entity alignment (EA) aims to identify entities across different knowledge graphs that represent the same real-world objects.

40
16 Feb 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

zjukg/kg-mm-survey 8 Feb 2024

In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG studies into the MMKG realm.

150
08 Feb 2024

Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation

wyy-code/pipea 5 Feb 2024

In this paper, we present a propagation perspective to analyze weakly supervised EA and explain the existing aggregation-based EA models.

1
05 Feb 2024

Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment

wyy-code/desalign 31 Jan 2024

This study introduces a novel approach, DESAlign, which addresses these issues by applying a theoretical framework based on Dirichlet energy to ensure semantic consistency.

1
31 Jan 2024

Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding

wyy-code/TFP 23 Jan 2024

This generalized gradient flow enables TFP to harness the multi-view structural information of KGs.

1
23 Jan 2024

Learning High-Quality and General-Purpose Phrase Representations

tigerchen52/pearl 18 Jan 2024

The framework employs phrase type classification as an auxiliary task and incorporates character-level information more effectively into the phrase representation.

4
18 Jan 2024

Generating Explanations to Understand and Repair Embedding-based Entity Alignment

nju-websoft/exea 8 Dec 2023

In this paper, we present the first framework that can generate explanations for understanding and repairing embedding-based EA results.

1
08 Dec 2023

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching

xiefeng69/mixtea 8 Nov 2023

More importantly, in pseudo mapping learning, we propose a bi-directional voting (BDV) strategy that fuses the alignment decisions in different directions to estimate the uncertainty via the joint matching confidence score.

5
08 Nov 2023

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment

xiaoqian19940510/moalign 10 Oct 2023

To address these challenges, we propose a novel MMEA transformer, called MoAlign, that hierarchically introduces neighbor features, multi-modal attributes, and entity types to enhance the alignment task.

1
10 Oct 2023