<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-CPDGXO50</identifier><date>2025</date><creator>Li, Zhaocui</creator><creator>Liu, Zemei</creator><creator>Wu, Chunyan</creator><relation>documents/doc/C/URN_NBN_SI_doc-CPDGXO50_001.pdf</relation><relation>documents/doc/C/URN_NBN_SI_doc-CPDGXO50_001.txt</relation><format format_type="issue">10</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 163-178</format><identifier identifier_type="DOI">10.31449/inf.v49i10.7381</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239600899</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-CPDGXO50</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">e-trgovina</subject><subject language_type_id="slv">grafne nevronske mreže</subject><subject language_type_id="slv">prevare</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">uporabniška ocena</subject><subject language_type_id="slv">zlorabe</subject><title>Identification of malicious e-commerce users based on user rating behavior and GNN</title></Record>