Review
Open access
2026
Predicting Probabilistic Links Using Node Embedding and Graph Neural Network Approach
A graph neural network model for predicting probabilistic links with network embedding via generalized graph convolutional networks, referred to as LPNE2GGCN for graph network datasets, has been proposed and initial results suggest that this methodology produces excellent results compared to conventional methods across diverse social network datasets.
Riju Bhattacharya, N. K. Nagwani, Deepak Suresh Asudani et al.
· IEEE Access · 0 citations