Applications of link prediction in social networks: A review
Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …
in a given network. The methods are essential in social networks to infer social interactions …
Taxonomy of link prediction for social network analysis: a review
Link prediction is a technique to forecast future new or missing relationships between
entities based on the current network information. Graph theory and network science are …
entities based on the current network information. Graph theory and network science are …
Artificial Intuition for Automated Decision-Making
M Trovati, K Teli, N Polatidis, UA Cullen… - Applied Artificial …, 2023 - Taylor & Francis
Automated decision-making techniques play a crucial role in data science, AI, and general
machine learning. However, such techniques need to balance accuracy with computational …
machine learning. However, such techniques need to balance accuracy with computational …
[HTML][HTML] A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms
M Daradkeh - Journal of Open Innovation: Technology, Market, and …, 2022 - Elsevier
The heterogeneity and diversity of users and external knowledge resources is a hallmark of
open innovation communities (OICs). Although user segmentation in heterogeneous OICs is …
open innovation communities (OICs). Although user segmentation in heterogeneous OICs is …
Application of neural network predictive control methods to solve the shipping container sway control problem in Quay cranes
S Jakovlev, T Eglynas, M Voznak - IEEE Access, 2021 - ieeexplore.ieee.org
Smart control systems are mostly applied in industry to control the movements of heavy
machinery while optimizing overall operational efficiency. Major shipping companies use …
machinery while optimizing overall operational efficiency. Major shipping companies use …
[PDF][PDF] Extending adamic adar for cold-start problem in link prediction based on network metrics
The cold-start problem is a common problem in recommendation systems (RS)[1]-[3]. User
coldstart problems [4],[5] and product cold-start problems [6],[7] are two categories of cold …
coldstart problems [4],[5] and product cold-start problems [6],[7] are two categories of cold …
Self-Configured Framework for scalable link prediction in twitter: Towards autonomous spark framework
Scalable link prediction in social networks allow dynamic social interaction gathering,
potential friend suggestions, and community detection. Distributed open-source frameworks …
potential friend suggestions, and community detection. Distributed open-source frameworks …
WSGCN4SLP: Weighted signed graph convolutional network for service link prediction
Learning network representations of Web services plays a critical role in the service
ecosystem and facilitates many downstream tasks, eg, service composition, service …
ecosystem and facilitates many downstream tasks, eg, service composition, service …
Mobile virtual reality rail traffic congestion prediction algorithm based on convolutional neural network
Y Li, Y Wang - Mobile Information Systems, 2022 - Wiley Online Library
In order to explore a mobile virtual reality railway traffic congestion prediction algorithm
based on convolutional neural network, an expanded causal convolution neural network …
based on convolutional neural network, an expanded causal convolution neural network …
A link prediction algorithm based on GAN
H Jin, G Xu, K Cheng, J Liu, Z Wu - Electronics, 2022 - mdpi.com
Link prediction, as an important research direction in complicated network analysis, has
broad application prospects. However, traditional link prediction algorithms are generally …
broad application prospects. However, traditional link prediction algorithms are generally …