6 papers
EdgeSketch: Efficient Analysis of Massive Graph Streams
Jakub Lemiesz, Dingqi Yang, Philippe Cudré-Mauroux
We introduce EdgeSketch, a compact graph representation for efficient analysis of massive graph streams. EdgeSketch provides unbiased estimators for key graph properties with contr…
THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs
Weijian Yu, Yuhuan Lu, Dingqi Yang
Knowledge graphs (KGs) have become a key ingredient supporting a variety of applications. Beyond the traditional triplet representation of facts where a relation connects two entit…
STRelay: A Universal Spatio-Temporal Relaying Framework for Location Prediction over Human Trajectory Data
Bangchao Deng, Lianhua Ji, Chunhua Chen +5
Next location prediction is a critical task in human mobility modeling, enabling applications like travel planning and urban mobility management. Existing methods mainly rely on hi…
Beyond Regularity: Modeling Chaotic Mobility Patterns for Next Location Prediction
Yuqian Wu, Yuhong Peng, Jiapeng Yu +7
Next location prediction is a key task in human mobility analysis, crucial for applications like smart city resource allocation and personalized navigation services. However, exist…
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus
Bangchao Deng, Xin Jing, Tianyue Yang +3
Human trajectory data, which plays a crucial role in various applications such as crowd management and epidemic prevention, is challenging to obtain due to practical constraints an…
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs
ChongIn Un, Yuhuan Lu, Tianyue Yang +1
Knowledge graphs (KGs) have become an effective paradigm for managing real-world facts, which are not only complex but also dynamically evolve over time. The temporal validity of f…