Spatio-Temporal Graph Neural Networks: A Survey

Understand

Graph Neural Networks have gained huge interest in the past few years.

• These powerful algorithms expanded deep learning models to non-Euclidean space and were able to achieve state of art performance in various applications including recommender systems and social networks.
• However, this performance is based on static graph structures assumption which limits the Graph Neural Networks performance when the data varies with time.
• Spatiotemporal Graph Neural Networks are extension of Graph Neural Networks that takes the time factor into account.