The identified structure centers may be problematic.
<p>(a) The ground-truth community partition (b) The structural centralities of different nodes.</p>
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2025
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| _version_ | 1852018837629698048 |
|---|---|
| author | Bing Guo (25387) |
| author2 | Liping Deng (756374) Tao Lian (10662498) |
| author2_role | author author |
| author_facet | Bing Guo (25387) Liping Deng (756374) Tao Lian (10662498) |
| author_role | author |
| dc.creator.none.fl_str_mv | Bing Guo (25387) Liping Deng (756374) Tao Lian (10662498) |
| dc.date.none.fl_str_mv | 2025-07-01T17:52:37Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327022.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_identified_structure_centers_may_be_problematic_/29451061 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified refinement process yields extensive experiments demonstrate corresponding induced subgraph structure centers based representative structure centers refined structure centers initial structure centers inappropriate structure centers highest structure importance current structure centers label propagation ability temporary graph partition structure center refinement realize community detection community detection performance graph convolutional network labeled set expansion gcn ), considering structure center community structure network topology label information various graph labeled set labeled nodes graph topology graph convolution entire graph two steps structured data shallow gcn recently exploited proposed approach localized filter limited amount iteratively refine highly dependent gcn improves final gcn efficient approach classical problem adverse effect |
| dc.title.none.fl_str_mv | The identified structure centers may be problematic. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(a) The ground-truth community partition (b) The structural centralities of different nodes.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_8e82b879b2c6ce3f6d57f287c6ca4e14 |
| identifier_str_mv | 10.1371/journal.pone.0327022.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29451061 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The identified structure centers may be problematic.Bing Guo (25387)Liping Deng (756374)Tao Lian (10662498)BiochemistryEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedrefinement process yieldsextensive experiments demonstratecorresponding induced subgraphstructure centers basedrepresentative structure centersrefined structure centersinitial structure centersinappropriate structure centershighest structure importancecurrent structure centerslabel propagation abilitytemporary graph partitionstructure center refinementrealize community detectioncommunity detection performancegraph convolutional networklabeled set expansiongcn ), consideringstructure centercommunity structurenetwork topologylabel informationvarious graphlabeled setlabeled nodesgraph topologygraph convolutionentire graphtwo stepsstructured datashallow gcnrecently exploitedproposed approachlocalized filterlimited amountiteratively refinehighly dependentgcn improvesfinal gcnefficient approachclassical problemadverse effect<p>(a) The ground-truth community partition (b) The structural centralities of different nodes.</p>2025-07-01T17:52:37ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327022.g001https://figshare.com/articles/figure/The_identified_structure_centers_may_be_problematic_/29451061CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294510612025-07-01T17:52:37Z |
| spellingShingle | The identified structure centers may be problematic. Bing Guo (25387) Biochemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified refinement process yields extensive experiments demonstrate corresponding induced subgraph structure centers based representative structure centers refined structure centers initial structure centers inappropriate structure centers highest structure importance current structure centers label propagation ability temporary graph partition structure center refinement realize community detection community detection performance graph convolutional network labeled set expansion gcn ), considering structure center community structure network topology label information various graph labeled set labeled nodes graph topology graph convolution entire graph two steps structured data shallow gcn recently exploited proposed approach localized filter limited amount iteratively refine highly dependent gcn improves final gcn efficient approach classical problem adverse effect |
| status_str | publishedVersion |
| title | The identified structure centers may be problematic. |
| title_full | The identified structure centers may be problematic. |
| title_fullStr | The identified structure centers may be problematic. |
| title_full_unstemmed | The identified structure centers may be problematic. |
| title_short | The identified structure centers may be problematic. |
| title_sort | The identified structure centers may be problematic. |
| topic | Biochemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified refinement process yields extensive experiments demonstrate corresponding induced subgraph structure centers based representative structure centers refined structure centers initial structure centers inappropriate structure centers highest structure importance current structure centers label propagation ability temporary graph partition structure center refinement realize community detection community detection performance graph convolutional network labeled set expansion gcn ), considering structure center community structure network topology label information various graph labeled set labeled nodes graph topology graph convolution entire graph two steps structured data shallow gcn recently exploited proposed approach localized filter limited amount iteratively refine highly dependent gcn improves final gcn efficient approach classical problem adverse effect |