Structured learning from heterogeneous behavior for social identity linkage
Social identity linkage across different social media platforms is of critical importance to
business intelligence by gaining from social data a deeper understanding and more …
business intelligence by gaining from social data a deeper understanding and more …
A multi-resolution approach to learning with overlapping communities
The recent few years have witnessed a rapid surge of participatory web and social media,
enabling a new laboratory for studying human relations and collective behavior on an …
enabling a new laboratory for studying human relations and collective behavior on an …
Dynamic discovery of favorite locations in spatio-temporal social networks
A large volume of data flowing throughout location-based social networks (LBSN) gives
support to the recommendation of points-of-interest (POI). One of the major challenges that …
support to the recommendation of points-of-interest (POI). One of the major challenges that …
Motion based inference of social circles via self-attention and contextualized embedding
Extracting knowledge from human mobility data is an important task for many downstream
applications such as point-of-interest recommendation, motion trace identification, and …
applications such as point-of-interest recommendation, motion trace identification, and …
Recommendation of points-of-interest using graph embeddings
G Christoforidis, P Kefalas… - 2018 IEEE 5th …, 2018 - ieeexplore.ieee.org
The rapid growth of Location-based Social Networks (LBSNs) has lead to the generation of
massive datasets which are collected in an exponential rate. The collected information may …
massive datasets which are collected in an exponential rate. The collected information may …
hier2vec: interpretable multi-granular representation learning for hierarchy in social networks
S Fu, G Wang, J Xu - International Journal of Machine Learning and …, 2021 - Springer
Network representation learning (NRL) maps vertices into latent vector space for further
network inference. The existing algorithms concern more about whether the vectors of two …
network inference. The existing algorithms concern more about whether the vectors of two …
P2P-iSN: A peer-to-peer architecture for heterogeneous social networks
P Lin, PC Chung, Y Fang - IEEE Network, 2014 - ieeexplore.ieee.org
The unprecedented growth and influence of Social Network Sites (SNSs) have opened the
opportunity for researchers to explore a large amount of social and behavioral data. The …
opportunity for researchers to explore a large amount of social and behavioral data. The …
Co-occurrence prediction in a large location-based social network
Location-based social network (LBSN) is at the forefront of emerging trends in social
network services (SNS) since the users in LBSN are allowed to “check-in” the places …
network services (SNS) since the users in LBSN are allowed to “check-in” the places …
A structural graph representation learning framework
The success of many graph-based machine learning tasks highly depends on an
appropriate representation learned from the graph data. Most work has focused on learning …
appropriate representation learned from the graph data. Most work has focused on learning …
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 …