Learning holistic interactions in LBSNs with high-order, dynamic, and multi-role contexts
Location-based social networks (LBSNs) have emerged over the past few years. Their
exponential network effects depend on the fact that each user can share her daily digital …
exponential network effects depend on the fact that each user can share her daily digital …
Joint representation learning for location-based social networks with multi-grained sequential contexts
This article studies the problem of learning effective representations for Location-Based
Social Networks (LBSN), which is useful in many tasks such as location recommendation …
Social Networks (LBSN), which is useful in many tasks such as location recommendation …
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 …
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 …
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 …
Time and location aware points of interest recommendation in location-based social networks
The wide spread of location-based social networks brings about a huge volume of user
check-in data, which facilitates the recommendation of points of interest (POIs). Recent …
check-in data, which facilitates the recommendation of points of interest (POIs). Recent …
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 …
Learning from your network of friends: A trajectory representation learning model based on online social ties
B Alharbi, X Zhang - 2016 IEEE 16th international conference …, 2016 - ieeexplore.ieee.org
Location-Based Social Networks (LBSNs) capture individuals whereabouts for a large
portion of the population. To utilize this data for user (location)-similarity based tasks, one …
portion of the population. To utilize this data for user (location)-similarity based tasks, one …
Morel: Multi-omics relational learning
Multi-omics data analysis has the potential to discover hidden molecular interactions,
revealing potential regulatory and/or signal transduction pathways for cellular processes of …
revealing potential regulatory and/or signal transduction pathways for cellular processes of …