Discovering and Maintaining the Best <i>k</i> in Core Decomposition
- Publisher:
- IEEE COMPUTER SOC
- Publication Type:
- Journal Article
- Citation:
- IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36, (11), pp. 5954-5971
- Issue Date:
- 2024-11
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
1767642.pdf | Published version | 4.44 MB |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Chu, D | |
dc.contributor.author | Zhang, F | |
dc.contributor.author | Zhang, W | |
dc.contributor.author | Lin, X | |
dc.contributor.author |
Zhang, Y |
|
dc.contributor.author | Xia, Y | |
dc.contributor.author | Zhang, C | |
dc.date.accessioned | 2025-01-03T02:29:12Z | |
dc.date.available | 2025-01-03T02:29:12Z | |
dc.date.issued | 2024-11 | |
dc.identifier.citation | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36, (11), pp. 5954-5971 | |
dc.identifier.issn | 1041-4347 | |
dc.identifier.issn | 1558-2191 | |
dc.identifier.uri | http://hdl.handle.net/10453/182928 | |
dc.language | English | |
dc.publisher | IEEE COMPUTER SOC | |
dc.relation | http://purl.org/au-research/grants/arc/DP230101445 | |
dc.relation.ispartof | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | |
dc.relation.isbasedon | 10.1109/TKDE.2024.3389989 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 08 Information and Computing Sciences | |
dc.subject.classification | Information Systems | |
dc.subject.classification | 46 Information and computing sciences | |
dc.title | Discovering and Maintaining the Best <i>k</i> in Core Decomposition | |
dc.type | Journal Article | |
utslib.citation.volume | 36 | |
utslib.for | 08 Information and Computing Sciences | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/UTS Groups | |
pubs.organisational-group | University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII) | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2025-01-03T02:29:08Z | |
pubs.issue | 11 | |
pubs.publication-status | Published | |
pubs.volume | 36 | |
utslib.citation.issue | 11 |
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