A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

Abstract Deep learning has seen significant growth recently and is now applied to a wide range of conventional use cases, including graphs. Graph data provides relational information between elements and is a standard data format for various machine learning and deep learning tasks. Models that can ... View More