Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …

Fraud detection is one of the most important tasks in Web platforms such as e-commerce,
social media, network security, and financial systems. To prevent fraudulent actions from …

With the wide use of Location-Based Social Networks (LBSNs), predicting user friendship
from online social relations and offline trajectory data is of great value to improve the …

With the prevalence of smart mobile devices and location-based services, uncovering social
relationships from human mobility data is of great value in real-world spatio-temporal …

Persistent homology theory provides approaches for analyzing topological features, which is
now widely applied in graph comparison on social networks, biological networks, and co …

Practical real-world scenarios such as the Internet, social networks, and biological networks
present the challenges of data scarcity and complex correlations, which limit the applications …

We focus on representation learning for social link inference based on user trajectory data.
While traditional methods predict relations between users by considering hand-crafted …

Recently, friend recommendation has gained widespread popularity in location-based social
networks (LBSNs), which provides more opportunities for users to forge new friendships …

Current link prediction methods in Location-Based Social Networks (LBSNs) fuse graphs
derived from users' check-in data and their social links to form a single graph or network …

Recently, how to provide better POI recommendation performance by exploiting
representation learning frame work is still one challenging task in LBSNs. Most existing …