| dc.contributor | 應數系 | |
| dc.creator (作者) | 蔡炎龍 | |
| dc.creator (作者) | Tsai, Yen-Lung;Lin, Tse-Yu | |
| dc.date (日期) | 2024-11 | |
| dc.date.accessioned | 12-三月-2025 11:17:19 (UTC+8) | - |
| dc.date.available | 12-三月-2025 11:17:19 (UTC+8) | - |
| dc.date.issued (上傳時間) | 12-三月-2025 11:17:19 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/156218 | - |
| dc.description.abstract (摘要) | Graph Laplacian is a fundamental tool in various fields such as spectral clustering, network analysis, image processing, and, deep learning recently for studying message passing in graph neural network models. To support the theoretical use of the graph Laplacian in these fields, in this work, we study the continuity of the Moore-Penrose generalized inverse of the graph Laplacian. We provide a graph-theoretical proof of this continuity in terms of the connectivity of the underlying graph associated with a given graph Laplacian matrix. | |
| dc.format.extent | 111 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), IEEE | |
| dc.subject (關鍵詞) | graph Laplacian; Moore-Penrose inverse; continuity; graph connectivity | |
| dc.title (題名) | On the Continuity of Moore-Penrose Inverse of the Graph Laplacian | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/GCCE62371.2024.10760335 | |
| dc.doi.uri (DOI) | https://doi.org/10.1109/GCCE62371.2024.10760335 | |
