Graph Neural Networks

Graph neural networks are a type of deep learning model designed to work directly with graph-structured data, enabling the analysis and processing of complex relationships between objects. As a rapidly evolving research area, graph neural networks have significant implications for various tech applications, including social network analysis, recommendation systems, and molecular modeling, making them a crucial tool for researchers and developers seeking to extract insights from complex, interconnected data.