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 …

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 …

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 …

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 …

Smart control systems are mostly applied in industry to control the movements of heavy
machinery while optimizing overall operational efficiency. Major shipping companies use …

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 …

Scalable link prediction in social networks allow dynamic social interaction gathering,
potential friend suggestions, and community detection. Distributed open-source frameworks …

Learning network representations of Web services plays a critical role in the service
ecosystem and facilitates many downstream tasks, eg, service composition, service …

In order to explore a mobile virtual reality railway traffic congestion prediction algorithm
based on convolutional neural network, an expanded causal convolution neural network …

Link prediction, as an important research direction in complicated network analysis, has
broad application prospects. However, traditional link prediction algorithms are generally …