Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach
Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …
to study the impact of mobility and social relationships on each other. Traditional …
Lbsn2vec++: Heterogeneous hypergraph embedding for location-based social networks
Location-Based Social Networks (LBSNs) have been widely used as a primary data source
for studying the impact of mobility and social relationships on each other. Traditional …
for studying the impact of mobility and social relationships on each other. Traditional …
Exploring social-historical ties on location-based social networks
Location-based social networks (LBSNs) have become a popular form of social media in
recent years. They provide location related services that allow users to" check-in''at …
recent years. They provide location related services that allow users to" check-in''at …
Heterogeneous graph-based joint representation learning for users and POIs in location-based social network
Y Qiao, X Luo, C Li, H Tian, J Ma - Information Processing & Management, 2020 - Elsevier
Learning latent representations for users and points of interests (POIs) is an important task in
location-based social networks (LBSN), which could largely benefit multiple location-based …
location-based social networks (LBSN), which could largely benefit multiple location-based …
Transferring heterogeneous links across location-based social networks
ocation-based social networks (LBSNs) are one kind of online social networks offering
geographic services and have been attracting much attention in recent years. LBSNs usually …
geographic services and have been attracting much attention in recent years. LBSNs usually …
The role of location and social strength for friendship prediction in location-based social networks
Recent advances in data mining and machine learning techniques are focused on exploiting
location data. These advances, combined with the increased availability of location …
location data. These advances, combined with the increased availability of location …
Scalable graph embedding for asymmetric proximity
Graph Embedding methods are aimed at mapping each vertex into a low dimensional vector
space, which preserves certain structural relationships among the vertices in the original …
space, which preserves certain structural relationships among the vertices in the original …
Multiple location profiling for users and relationships from social network and content
Users' locations are important for many applications such as personalized search and
localized content delivery. In this paper, we study the problem of profiling Twitter users' …
localized content delivery. In this paper, we study the problem of profiling Twitter users' …
Finding your friends and following them to where you are
Location plays an essential role in our lives, bridging our online and offline worlds. This
paper explores the interplay between people's location, interactions, and their social ties …
paper explores the interplay between people's location, interactions, and their social ties …
gSCorr: Modeling geo-social correlations for new check-ins on location-based social networks
Location-based social networks (LBSNs) have attracted an increasing number of users in
recent years. The availability of geographical and social information of online LBSNs …
recent years. The availability of geographical and social information of online LBSNs …