Machine Learning on Dynamic Graphs: A Survey on Applications
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917568249331712 |
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| author | Fard, Sanaz Hasanzadeh |
| author_facet | Fard, Sanaz Hasanzadeh |
| contents | Dynamic graph learning has gained significant attention as it offers a powerful means to model intricate interactions among entities across various real-world and scientific domains. Notably, graphs serve as effective representations for diverse networks such as transportation, brain, social, and internet networks. Furthermore, the rapid advancements in machine learning have expanded the scope of dynamic graph applications beyond the aforementioned domains. In this paper, we present a review of lesser-explored applications of dynamic graph learning. This study revealed the potential of machine learning on dynamic graphs in addressing challenges across diverse domains, including those with limited levels of association with the field. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_08147 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Machine Learning on Dynamic Graphs: A Survey on Applications Fard, Sanaz Hasanzadeh Machine Learning Social and Information Networks Dynamic graph learning has gained significant attention as it offers a powerful means to model intricate interactions among entities across various real-world and scientific domains. Notably, graphs serve as effective representations for diverse networks such as transportation, brain, social, and internet networks. Furthermore, the rapid advancements in machine learning have expanded the scope of dynamic graph applications beyond the aforementioned domains. In this paper, we present a review of lesser-explored applications of dynamic graph learning. This study revealed the potential of machine learning on dynamic graphs in addressing challenges across diverse domains, including those with limited levels of association with the field. |
| title | Machine Learning on Dynamic Graphs: A Survey on Applications |
| topic | Machine Learning Social and Information Networks |
| url | https://arxiv.org/abs/2401.08147 |