Papers › Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with...
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining
Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
Seeking the equivalent entities among multi-source Knowledge Graphs (KGs) is the pivotal step to KGs integration, also known as \emph{entity alignment} (EA). However, most existing EA methods are inefficient and poor in scalability. A recent summary points out that some of them even require several days to deal with a dataset containing 200,000 nodes (DWY100K). We believe over-complex graph encoder and inefficient negative sampling strategy are the two main reasons. In this paper, we propose a novel KG encoder -- Dual Attention Matching Network (Dual-AMN), which not only models both intra-graph and cross-graph information smartly, but also greatly reduces computational complexity. Furthermore, we propose the Normalized Hard Sample Mining Loss to smoothly select hard negative samples with reduced loss shift. The experimental results on widely used public datasets indicate that our method achieves both high accuracy and high efficiency. On DWY100K, the whole running process of our method could be finished in 1,100 seconds, at least 10* faster than previous work. The performances of our method also outperform previous works across all datasets, where Hits@1 and MRR have been improved from 6% to 13%.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Entity Alignment | DBP15k zh-en | Dual-AMN | Hits@1 | 0.861 | #8 of 38 | Archive leaderboard | report |
| Entity Alignment | DICEWS-1K | Dual-AMN | Hit@1 | 71.6 | #4 of 5 | Archive leaderboard | report |
| Entity Alignment | YAGO-WIKI50K | Dual-AMN | Hit@1 | 89.7 | #2 of 5 | Archive leaderboard | report |
| Entity Alignment | dbp15k fr-en | Dual-AMN | Hits@1 | 0.954 | #7 of 14 | Archive leaderboard | report |
| Entity Alignment | dbp15k ja-en | Dual-AMN | Hits@1 | 0.892 | #7 of 14 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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