The widespread availability of GPS has opened up a whole new market that provides a
plethora of location-based services. Location-based social networks have become very …

In the era of large language models (LLMs), efficient and accurate data retrieval has become
increasingly crucial for the use of domain-specific or private data in the retrieval augmented …

Learning graph embeddings is a crucial task in graph mining tasks. An effective graph
embedding model can learn low-dimensional representations from graph-structured data for …

Link prediction aims to learn meaningful features from networks to predict the possibility of
topology. Most of the existing research on temporal link prediction is mainly aimed at …

The advent of the era of big data promotes the further development of medicine, and data
release is an important step in it. The existing medical data release methods mostly use the …

With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people
especially the students who are of relative weak physique is becoming a key research issue …

With intelligent terminal devices' widespread adoption and global positioning systems'
advancement, Location-based Social Networking Services (LbSNs) have gained …

Minable data publication is ubiquitous since it is beneficial to sharing/trading data among
commercial companies and further facilitates the development of data-driven tasks …

With the wide adoption of health and sport concepts in human society, how to effectively
analyze the personalized sports preferences of students based on past sports training …

Accurately classifying encrypted traffic is the indispensable cornerstone for network
management and Quality of Service (QoS) improvement. Although existing works that learn …