Edge centrality and the total variation of graph distributional signals
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929571717185536 |
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| author | Ji, Feng |
| author_facet | Ji, Feng |
| contents | This short note is a supplement to [1], in which the total variation of graph distributional signals is introduced and studied. We introduce a different formulation of total variation and relate it to the notion of edge centrality. The relation provides a different perspective of total variation and may facilitate its computation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00416 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Edge centrality and the total variation of graph distributional signals Ji, Feng Signal Processing This short note is a supplement to [1], in which the total variation of graph distributional signals is introduced and studied. We introduce a different formulation of total variation and relate it to the notion of edge centrality. The relation provides a different perspective of total variation and may facilitate its computation. |
| title | Edge centrality and the total variation of graph distributional signals |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2411.00416 |