8 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…
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…
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…
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…
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction
Xin Jing, Yichen Jing, Yuhuan Lu +3
Information popularity prediction is important yet challenging in various domains, including viral marketing and news recommendations. The key to accurately predicting information…
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu +3
The rapid spread of diverse information on online social platforms has prompted both academia and industry to realize the importance of predicting content popularity, which could b…
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…