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 …
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 …
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 …
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 …
Meta-path aware dynamic graph learning for friend recommendation with user mobility
Recently, friend recommendation has gained widespread popularity in location-based social
networks (LBSNs), which provides more opportunities for users to forge new friendships …
networks (LBSNs), which provides more opportunities for users to forge new friendships …
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 …
Who is your friend: inferring cross-regional friendship from mobility profiles
Abstract Location Based Social Networks (LBSNs) have been widely used as a primary data
source to study friendship inference. Traditional approaches mainly focused on exploring …
source to study friendship inference. Traditional approaches mainly focused on exploring …
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 …
Graph-flashback network for next location recommendation
Next Point-of Interest (POI) recommendation plays an important role in location-based
applications, which aims to recommend the next POIs to users that they are most likely to …
applications, which aims to recommend the next POIs to users that they are most likely to …
Hyper-Relational Knowledge Graph Neural Network for Next POI
With the advancement of mobile technology, Point of Interest (POI) recommendation systems
in Location-based Social Networks (LBSN) have brought numerous benefits to both users …
in Location-based Social Networks (LBSN) have brought numerous benefits to both users …