119 citations · 237 across the 5 of their papers we have counts for
5 papers
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Xin Mao, Wenting Wang, Yuanbin Wu +1
Entity Alignment (EA) aims to find equivalent entity pairs between KGs, which is the core step of bridging and integrating multi-source KGs. In this paper, we argue that existing G…
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
Xin Mao, Wenting Wang, Yuanbin Wu +1
Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs. Recently, many GNN-based EA methods…
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao, Wenting Wang, Yuanbin Wu +1
Entity alignment (EA) aims to find the equivalent entities in different KGs, which is a crucial step in integrating multiple KGs. However, most existing EA methods have poor scalab…
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining
Xin Mao, Wenting Wang, Yuanbin Wu +1
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…
Relational Reflection Entity Alignment
Xin Mao, Wenting Wang, Huimin Xu +2
Entity alignment aims to identify equivalent entity pairs from different Knowledge Graphs (KGs), which is essential in integrating multi-source KGs. Recently, with the introduction…