Time Series Forecasting with Graph Transformers
Time series forecasting is a cornerstone in modern business analytics, whether it is concerned with anticipating market trends, user behavior, optimizing resource allocation, or planning for future growth. As such, a wide range of different approaches have been introduced and investigated for forecasting, lately data-driven approaches using machine learning and generative models. This blog post will dive into forecasting on graph structured entities, e.g., as obtained from a relational database