4 papers
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…
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…