1. A Primer on Temporal Graph Learning
- Author
-
Rahman, Aniq Ur and Coon, Justin P.
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Discrete Mathematics ,Computer Science - Social and Information Networks ,Electrical Engineering and Systems Science - Signal Processing - Abstract
This document aims to familiarize readers with temporal graph learning (TGL) through a concept-first approach. We have systematically presented vital concepts essential for understanding the workings of a TGL framework. In addition to qualitative explanations, we have incorporated mathematical formulations where applicable, enhancing the clarity of the text. Since TGL involves temporal and spatial learning, we introduce relevant learning architectures ranging from recurrent and convolutional neural networks to transformers and graph neural networks. We also discuss classical time series forecasting methods to inspire interpretable learning solutions for TGL., Comment: 19 pages, 47 equations
- Published
- 2024