Deep Learning For Graph Management And Analytics

Deep learning has become a crucial tool in the field of data management and analytics, particularly in graph-based analysis. It allows for more efficient and accurate tasks such as graph database query, generation, and link prediction, while also providing deeper insights through pattern and trend discovery. However, challenges still remain in acquiring and annotating data, reducing resource consumption, and protecting data privacy. This special issue aims to promote research in improving graph management and analytics through deep learning.