A Primer on Temporal Graph Learning
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914635583586304 |
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| author | Rahman, Aniq Ur Coon, Justin P. |
| author_facet | Rahman, Aniq Ur Coon, Justin P. |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_03988 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Primer on Temporal Graph Learning Rahman, Aniq Ur Coon, Justin P. Machine Learning Artificial Intelligence Discrete Mathematics Social and Information Networks Signal Processing 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. |
| title | A Primer on Temporal Graph Learning |
| topic | Machine Learning Artificial Intelligence Discrete Mathematics Social and Information Networks Signal Processing |
| url | https://arxiv.org/abs/2401.03988 |