119 citations · 258 across the 10 of their papers we have counts for
10 papers
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
Li Cai, Xin Mao, Yuhao Zhou +3
Knowledge graphs have garnered significant research attention and are widely used to enhance downstream applications. However, most current studies mainly focus on static knowledge…
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
Li Cai, Xin Mao, Zhihong Wang +4
Temporal knowledge graph completion (TKGC) aims to fill in missing facts within a given temporal knowledge graph at a specific time. Existing methods, operating in real or complex…
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
Bolin Zhu, Xiaoze Liu, Xin Mao +4
The objective of Entity Alignment (EA) is to identify equivalent entity pairs from multiple Knowledge Graphs (KGs) and create a more comprehensive and unified KG. The majority of E…
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
Li Cai, Xin Mao, Youshao Xiao +2
Entity alignment (EA) aims to find the equivalent entity pairs between different knowledge graphs (KGs), which is crucial to promote knowledge fusion. With the wide use of temporal…
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…
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
Li Cai, Xin Mao, Meirong Ma +3
Entity alignment (EA) aims to find entities in different knowledge graphs (KGs) that refer to the same object in the real world. Recent studies incorporate temporal information to…
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…