No Cover Image

Journal article 24 views 2 downloads

TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1

Muhammad Abdullah, Zan Hongying, Arifa Javed, Junaid Abdul Wahid, Kanwal Ahmed, Hassan Eshkiki Orcid Logo, Fabio Caraffini Orcid Logo

Swansea University Authors: Hassan Eshkiki Orcid Logo, Fabio Caraffini Orcid Logo

DOI (Published version): 0.1007/s10115-026-02791-5

Published:
URI: https://cronfa.swan.ac.uk/Record/cronfa71997
first_indexed 2026-05-31T09:41:34Z
last_indexed 2026-06-01T06:04:32Z
id cronfa71997
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2026-05-31T10:49:35.8979093</datestamp><bib-version>v2</bib-version><id>71997</id><entry>2026-05-31</entry><title>TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1</title><swanseaauthors><author><sid>c9972b26a83de11ffe211070f26fe16b</sid><ORCID>0000-0001-7795-453X</ORCID><firstname>Hassan</firstname><surname>Eshkiki</surname><name>Hassan Eshkiki</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d0b8d4e63d512d4d67a02a23dd20dfdb</sid><ORCID>0000-0001-9199-7368</ORCID><firstname>Fabio</firstname><surname>Caraffini</surname><name>Fabio Caraffini</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2026-05-31</date><deptcode>MACS</deptcode><abstract/><type>Journal Article</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords/><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>0.1007/s10115-026-02791-5</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders/><projectreference/><lastEdited>2026-05-31T10:49:35.8979093</lastEdited><Created>2026-05-31T10:39:23.3274234</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Muhammad</firstname><surname>Abdullah</surname><order>1</order></author><author><firstname>Zan</firstname><surname>Hongying</surname><order>2</order></author><author><firstname>Arifa</firstname><surname>Javed</surname><order>3</order></author><author><firstname>Junaid Abdul</firstname><surname>Wahid</surname><order>4</order></author><author><firstname>Kanwal</firstname><surname>Ahmed</surname><order>5</order></author><author><firstname>Hassan</firstname><surname>Eshkiki</surname><orcid>0000-0001-7795-453X</orcid><order>6</order></author><author><firstname>Fabio</firstname><surname>Caraffini</surname><orcid>0000-0001-9199-7368</orcid><order>7</order></author></authors><documents><document><filename>71997__36841__236501fe8a3849f8b727d092619a5064.pdf</filename><originalFilename>TGCN-AAM.pdf</originalFilename><uploaded>2026-05-31T10:41:23.2093944</uploaded><type>Output</type><contentLength>5783106</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><copyrightCorrect>false</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2026-05-31T10:49:35.8979093 v2 71997 2026-05-31 TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1 c9972b26a83de11ffe211070f26fe16b 0000-0001-7795-453X Hassan Eshkiki Hassan Eshkiki true false d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2026-05-31 MACS Journal Article 0 0 0 0001-01-01 0.1007/s10115-026-02791-5 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required 2026-05-31T10:49:35.8979093 2026-05-31T10:39:23.3274234 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Muhammad Abdullah 1 Zan Hongying 2 Arifa Javed 3 Junaid Abdul Wahid 4 Kanwal Ahmed 5 Hassan Eshkiki 0000-0001-7795-453X 6 Fabio Caraffini 0000-0001-9199-7368 7 71997__36841__236501fe8a3849f8b727d092619a5064.pdf TGCN-AAM.pdf 2026-05-31T10:41:23.2093944 Output 5783106 application/pdf Accepted Manuscript true false
title TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
spellingShingle TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
Hassan Eshkiki
Fabio Caraffini
title_short TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
title_full TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
title_fullStr TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
title_full_unstemmed TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
title_sort TGCN-HCA: Temporal Graph Convolution Networks with Hierarchical Co-Attention Mechanisms For Fake News Detection 1
author_id_str_mv c9972b26a83de11ffe211070f26fe16b
d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv c9972b26a83de11ffe211070f26fe16b_***_Hassan Eshkiki
d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Hassan Eshkiki
Fabio Caraffini
author2 Muhammad Abdullah
Zan Hongying
Arifa Javed
Junaid Abdul Wahid
Kanwal Ahmed
Hassan Eshkiki
Fabio Caraffini
format Journal article
institution Swansea University
doi_str_mv 0.1007/s10115-026-02791-5
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 0001-01-01T07:04:32Z
_version_ 1866773427601276928
score 11.106755