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20102026
most citedInformed Multi-context Entity Alignment

28 citations · 150 across the 50 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

cs.LG2022★ 24 cited

Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding

Kexuan Xin, Zequn Sun, Wen Hua +3

Entity alignment is a crucial task in knowledge graph fusion. However, most entity alignment approaches have the scalability problem. Recent methods address this issue by dividing…

cs.DB2022★ 6 cited

DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing

Yao Tian, Xi Zhao, Xiaofang Zhou

Among many solutions to the high-dimensional approximate nearest neighbor (ANN) search problem, locality sensitive hashing (LSH) is known for its sub-linear query time and robust t…

cs.LG2022

Few-Shot Semantic Relation Prediction across Heterogeneous Graphs

Pengfei Ding, Yan Wang, Guanfeng Liu +1

Semantic relation prediction aims to mine the implicit relationships between objects in heterogeneous graphs, which consist of different types of objects and different types of lin…

cs.DB2022

Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories

Fengmei Jin, Wen Hua, Boyu Ruan +1

With the popularity of GPS-enabled devices, a huge amount of trajectory data has been continuously collected and a variety of location-based services have been developed that great…

cs.LG2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Yu Yang, Hongzhi Yin, Jiannong Cao +4

Dynamic graphs refer to graphs whose structure dynamically changes over time. Despite the benefits of learning vertex representations (i.e., embeddings) for dynamic graphs, existin…

cs.DB2022★ 10 cited

A Learned Index for Exact Similarity Search in Metric Spaces

Yao Tian, Tingyun Yan, Xi Zhao +2

Indexing is an effective way to support efficient query processing in large databases. Recently the concept of learned index, which replaces or complements traditional index struct…

cs.AI2022

Ensemble Semi-supervised Entity Alignment via Cycle-teaching

Kexuan Xin, Zequn Sun, Wen Hua +4

Entity alignment is to find identical entities in different knowledge graphs. Although embedding-based entity alignment has recently achieved remarkable progress, training data ins…

cs.SI2022★ 1 cited

HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks

Wei Chen, Weiqing Wang, Hongzhi Yin +2

Sources of complementary information are connected when we link user accounts belonging to the same user across different platforms or devices. The expanded information promotes th…

cs.AI2022★ 28 cited

Informed Multi-context Entity Alignment

Kexuan Xin, Zequn Sun, Wen Hua +2

Entity alignment is a crucial step in integrating knowledge graphs (KGs) from multiple sources. Previous attempts at entity alignment have explored different KG structures, such as…