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 …
A heterogeneous graph embedding framework for location-based social network analysis in smart cities
Y Wang, H Sun, Y Zhao, W Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, with the advancement of wireless communication and location acquisition
technology in the context of modern smart cities, and the increasing popularity of mobile …
technology in the context of modern smart cities, and the increasing popularity of mobile …
Attributed social network embedding
Embedding network data into a low-dimensional vector space has shown promising
performance for many real-world applications, such as node classification and entity …
performance for many real-world applications, such as node classification and entity …
Twitch gamers: a dataset for evaluating proximity preserving and structural role-based node embeddings
B Rozemberczki, R Sarkar - arXiv preprint arXiv:2101.03091, 2021 - arxiv.org
Proximity preserving and structural role-based node embeddings have become a prime
workhorse of applied graph mining. Novel node embedding techniques are often tested on a …
workhorse of applied graph mining. Novel node embedding techniques are often tested on a …
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 …
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 …
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 …
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 …
Identifying user geolocation with hierarchical graph neural networks and explainable fusion
Determining user geolocation from social media data is essential in various location-based
applications—from improved transportation/supply management, through providing …
applications—from improved transportation/supply management, through providing …