Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Franka Bause"'
The graph edit distance is an intuitive measure to quantify the dissimilarity of graphs, but its computation is NP-hard and challenging in practice. We introduce methods for answering nearest neighbor and range queries regarding this distance efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddeb28565d839824b8430990f1c088a6
https://hdl.handle.net/11353/10.1643611
https://hdl.handle.net/11353/10.1643611
Publikováno v:
Similarity Search and Applications ISBN: 9783030896560
SISAP
SISAP
Finding the graphs that are most similar to a query graph in a large database is a common task with various applications. A widely-used similarity measure is the graph edit distance, which provides an intuitive notion of similarity and naturally supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2f39773a05905eebe7c2e98c6d4ec6
https://doi.org/10.1007/978-3-030-89657-7_24
https://doi.org/10.1007/978-3-030-89657-7_24
Publikováno v:
ICDM
Finding an optimal assignment between two sets of objects is a fundamental problem arising in many applications, including the matching of `bag-of-words' representations in natural language processing and computer vision. Solving the assignment probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f36acc3aadea162bdc6d4433145c0a
http://arxiv.org/abs/1901.10356
http://arxiv.org/abs/1901.10356
Autor:
RIGAKI, MARIA1 maria.rigaki@fel.cvut.cz, GARCIA, SEBASTIAN1 sebastian.garcia@agents.fel.cvut.cz
Publikováno v:
ACM Computing Surveys. Apr2024, Vol. 56 Issue 4, p1-34. 34p.
Publikováno v:
Digital Threats: Research & Practice; Jun2024, Vol. 5 Issue 2, p1-29, 29p
Autor:
Sui, Yongduo, Mao, Wenyu, Wang, Shuyao, Wang, Xiang, Wu, Jiancan, He, Xiangnan, Chua, Tat-Seng
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jun2024, Vol. 18 Issue 5, p1-24, 24p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; May2024, Vol. 18 Issue 4, p1-22, 22p
Autor:
YUYANG REN, HAONAN ZHANG, PENG YU, LUOYI FU, XINDE CAO, XINBING WANG, GUIHAI CHEN, FEI LONG, CHENGHU ZHOU
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jun2023, Vol. 17 Issue 5, p1-23, 23p
Publikováno v:
Data Mining & Knowledge Discovery; Sep2022, Vol. 36 Issue 5, p1728-1755, 28p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Jun2022, Issue 3, p1-32, 32p