Graph theory: A comprehensive survey about graph theory applications in computer science and social networks
A Majeed, I Rauf - Inventions, 2020 - mdpi.com
Graph theory (GT) concepts are potentially applicable in the field of computer science (CS)
for many purposes. The unique applications of GT in the CS field such as clustering of web …
for many purposes. The unique applications of GT in the CS field such as clustering of web …
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Abstract Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
Baydnn: Friend recommendation with bayesian personalized ranking deep neural network
Friendship is the cornerstone to build a social network. In online social networks, statistics
show that the leading reason for user to create a new friendship is due to recommendation …
show that the leading reason for user to create a new friendship is due to recommendation …
MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks
Many social studies and practical cases suggest that people's consumption behaviors and
social behaviors are not isolated but interrelated. However, most existing research either …
social behaviors are not isolated but interrelated. However, most existing research either …
Whosnext: Recommending twitter users to follow using a spreading activation network based approach
The huge number of modern social network users has made the web a fertile ground for the
growth and development of a plethora of recommender systems. To date, recommending a …
growth and development of a plethora of recommender systems. To date, recommending a …
[PDF][PDF] Community-based collaborative filtering to alleviate the cold-start and sparsity problems
SK Gorripati, VK Vatsavayi - International Journal of Applied …, 2017 - academia.edu
Recommender systems help users in the discouraging task of selecting through large
quantities of information in order to select relevant information or items. It relies on most …
quantities of information in order to select relevant information or items. It relies on most …
Attributed community mining using joint general non-negative matrix factorization with graph Laplacian
Community mining for complex social networks with link and attribute information plays an
important role according to different application needs. In this paper, based on our proposed …
important role according to different application needs. In this paper, based on our proposed …
SCHOLAT: an innovative academic information service platform
We present a system called SCHOLAT, which is implemented as a scholar-oriented social
network that aims to form an academic community to let users establish connection with …
network that aims to form an academic community to let users establish connection with …
[图书][B] Cloud Computing and Security: 4th International Conference, ICCCS 2018, Haikou, China, June 8–10, 2018, Revised Selected Papers, Part III
This six volume set LNCS 11063–11068 constitutes the thoroughly refereed conference
proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS …
proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS …
[PDF][PDF] Explainable link prediction in large complex graphs-application to drug repurposing
K Islam - Theses, Université de Lorraine, 2022 - theses.fr
Link prediction approaches for simple graphs predict, as we saw in the previous chapter, the
probability of a link between two unconnected nodes based on available information in the …
probability of a link between two unconnected nodes based on available information in the …