From 29d1ca9409a45dd924d1b434038c641da89e2b87 Mon Sep 17 00:00:00 2001
From: Nikolaos Fanourakis <46540588+nikofan18@users.noreply.github.com>
Date: Sat, 7 Jun 2025 01:26:23 +0300
Subject: [PATCH] Update README.md

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 README.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
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@@ -324,6 +324,9 @@ This section includes the cross-lingual KGC that is extended from the original E
 1. **"Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment".**
 *Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang.* (ISWC 2023) \[[paper](https://arxiv.org/abs/2307.16210)\]\[[code](https://github.com/zjukg/UMAEA)\]
 
+1. **"Knowledge graph embedding methods for entity alignment: experimental review".**
+*N Fanourakis, V Efthymiou, D Kotzinos, V Christophides.* (DMKD 2023) \[[paper](https://link.springer.com/content/pdf/10.1007/s10618-023-00941-9.pdf)\]\[[code](https://github.com/fanourakis/experimental-review-EA)\]
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 ## Preprints
 
 This section contains selected promising preprints.
@@ -346,13 +349,16 @@ This section contains selected promising preprints.
 1. **"Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths".** 
 *Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang.* (arXiv 2023) \[[paper](https://arxiv.org/abs/2310.05364)\]\[[code]()\]
 
+1. **"HybEA: Hybrid Models for Entity Alignment".**
+*Nikolaos Fanourakis, Fatia Lekbour, Guillaume Renton, Vasilis Efthymiou, Vassilis Christophides.* (arxiv 2025) \[[paper](https://arxiv.org/pdf/2407.02862)\]\[[code](https://github.com/fanourakis/HybEA)\]
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 ## Tools
 
 1. **OpenEA** \[[repo](https://github.com/nju-websoft/OpenEA)\]: a TensorFlow-based EA framework.
 
 1. **EAkit** \[[repo](https://github.com/THU-KEG/EAkit)\]: a PyTorch-based EA framework.
 
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 ## Comments
 
 If you find any errors in the above information, please let us know in [Issues](https://github.com/THU-KEG/Entity_Alignment_Papers/issues). [Pull requests](https://github.com/THU-KEG/Entity_Alignment_Papers/pulls) are welcomed for adding papers.