Browse State-of-the-Art › Entity Alignment

Entity Alignment

117 papers with code · 10 benchmarks · 8 datasets archive 2025-07-28

Knowledge BaseNatural Language Processing

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.

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 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.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
DBP15k zh-en (38 rows) MEAformer MEAformer: Multi-modal Entity Alignment Transformer for Meta... code Syntology ran 5 of 13 samples · 8 unverified Compare
dbp15k fr-en (14 rows) MEAformer MEAformer: Multi-modal Entity Alignment Transformer for Meta... code Syntology ran 5 of 13 samples · 8 unverified Compare
dbp15k ja-en (14 rows) MEAformer MEAformer: Multi-modal Entity Alignment Transformer for Meta... code Syntology ran 5 of 13 samples · 8 unverified Compare
FBDB15k (6 rows) MEAformer (seed 60%) MEAformer: Multi-modal Entity Alignment Transformer for Meta... code Syntology ran 5 of 13 samples · 8 unverified Compare
FBYG15k (6 rows) MEAformer (seed 60%) MEAformer: Multi-modal Entity Alignment Transformer for Meta... code Syntology ran 5 of 13 samples · 8 unverified Compare
DBP1M DE-EN (5 rows) LightEA-I LightEA: A Scalable, Robust, and Interpretable Entity Alignment... code Syntology ran 0 of 1 samples · 1 unverified Compare
DICEWS-1K (5 rows) DualMatch Unsupervised Entity Alignment for Temporal Knowledge Graphs code Syntology ran 0 of 12 samples · 12 unverified Compare
YAGO-WIKI50K (5 rows) DualMatch Unsupervised Entity Alignment for Temporal Knowledge Graphs code Syntology ran 0 of 12 samples · 12 unverified Compare
DBP1M FR-EN (2 rows) LightEA LightEA: A Scalable, Robust, and Interpretable Entity Alignment... code Syntology ran 0 of 1 samples · 1 unverified Compare
DBP2.0 zh-en (2 rows) MTransE w/ background ranking Knowing the No-match: Entity Alignment with Dangling Cases code Syntology ran 6 of 22 samples · 16 unverified Compare

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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 117 papers with code (190 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.

Syntology lines on 10 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.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections