A Bayesian graph structure inference neural network based on adaptive connection sampling

• Published in: Applied soft computing Vol. 175; p. 113018
• Main Authors: Lu, Mingjie, Liu, Zhaowei, Wang, Pengda, Wang, Haiyang, Yang, Dong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2025
• Subjects: Adaptive connection sampling; Bayesian inference; Graph Neural Networks; Graph structure learning; Graph structure learning; Adaptive connection sampling; Bayesian inference; Graph Neural Networks

Graph Neural Networks (GNNs) have drawn a lot of interest recently and excel in several areas, including node categorization, recommended systems, link prediction, etc. However, most GNNs by default observe graphs that accurately reflect the relationships between nodes. The feature aggregation of GN...