Browse State-of-the-Art › Multi-modal Entity Alignment
Multi-modal Entity Alignment
14 papers with code · 8 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
14 shown of 14 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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28 Sep 2020 2 repositories listed Syntology ran 3 of 9 samples · 6 unverifiedThis work studies the use of visual semantic representations to align entities in heterogeneous knowledge graphs (KGs).
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28 Apr 2025 1 repository listedMulti-Modal Entity Alignment (MMEA) aims to retrieve equivalent entities from different Multi-Modal Knowledge Graphs (MMKGs), a critical information retrieval task.
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29 Jul 2024 1 repository listedOther studies refine each uni-modal information with graph structures, but may introduce unnecessary relations in specific modalities.
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27 Jul 2024 1 repository listedTo this end, we explore variational information bottleneck for multi-modal entity alignment (IBMEA), which emphasizes the alignment-relevant information and suppresses the alignment-irrelevant information in generating…
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23 Jul 2024 1 repository listed Syntology ran 10 of 12 samples · 2 unverifiedMulti-Modal Entity Alignment aims to discover identical entities across heterogeneous knowledge graphs.
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11 Mar 2024 1 repository listedIn this work, we explore the efficacy of models in accurately embedding entities within MMKGs through two pivotal tasks: Multi-modal Knowledge Graph Completion (MKGC) and Multi-modal Entity Alignment (MMEA).
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31 Jan 2024 1 repository listedThis study introduces a novel approach, DESAlign, which addresses these issues by applying a theoretical framework based on Dirichlet energy to ensure semantic consistency.
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10 Oct 2023 1 repository listedTo 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.
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9 Oct 2023 1 repository listedThe objective of Entity Alignment (EA) is to identify equivalent entity pairs from multiple Knowledge Graphs (KGs) and create a more comprehensive and unified KG.
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30 Jul 2023 1 repository listed Syntology ran 5 of 14 samples · 9 unverifiedAs a crucial extension of entity alignment (EA), multi-modal entity alignment (MMEA) aims to identify identical entities across disparate knowledge graphs (KGs) by exploiting associated visual information.
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29 Dec 2022 1 repository listed Syntology ran 5 of 13 samples · 8 unverifiedMulti-modal entity alignment (MMEA) aims to discover identical entities across different knowledge graphs (KGs) whose entities are associated with relevant images.
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2 Sep 2022 1 repository listed Syntology ran 3 of 10 samples · 7 unverifiedMulti-modal entity alignment aims to identify equivalent entities between two different multi-modal knowledge graphs, which consist of structural triples and images associated with entities.
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14 Aug 2022 1 repository listedTo deal with that problem, in this paper, we propose a novel Multi-modal Siamese Network for Entity Alignment (MSNEA) to align entities in different MMKGs, in which multi-modal knowledge could be comprehensively…
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20 Aug 2020 1 repository listedTo that end, in this paper, we propose a novel solution called Multi-Modal Entity Alignment (MMEA) to address the problem of entity alignment in a multi-modal view.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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