HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …
based social networks (LBSN) services. Previous statistical analysis indicated that social …
Heterogeneous hypergraph neural network for friend recommendation with human mobility
Friend recommendation from human mobility is a vital real-world application of location-
based social networks (LBSN). It is necessary to recognize patterns from human mobility to …
based social networks (LBSN). It is necessary to recognize patterns from human mobility to …
Dual subgraph-based graph neural network for friendship prediction in location-based social networks
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 …
from online social relations and offline trajectory data is of great value to improve the …
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 …
Graph structure learning on user mobility data for social relationship inference
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 …
relationships from human mobility data is of great value in real-world spatio-temporal …
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 …
Location recommendation based on mobility graph with individual and group influences
With the rapid development of mobile technology, it is very convenient to share people's
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
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 …
Sgwalk: Location recommendation by user subgraph-based graph embedding
D Canturk, P Karagoz - IEEE Access, 2021 - ieeexplore.ieee.org
Popularity of Location-based Social Networks (LBSNs) provides an opportunity to collect
massive multi-modal datasets that contain geographical information, as well as time and …
massive multi-modal datasets that contain geographical information, as well as time and …
Social link inference via multiview matching network from spatiotemporal trajectories
In this article, we investigate the problem of social link inference in a target location-aware
social network (LSN), which aims at predicting the unobserved links between users within …
social network (LSN), which aims at predicting the unobserved links between users within …