{"id":"https://openalex.org/W4401863559","doi":"https://doi.org/10.1145/3637528.3672024","title":"Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection","display_name":"Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863559","doi":"https://doi.org/10.1145/3637528.3672024"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3672024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3672024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101516082","display_name":"Junyou Zhu","orcid":"https://orcid.org/0000-0002-1460-4409"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyou Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University &amp; Potsdam Institute for Climate Impact Research, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University &amp; Potsdam Institute for Climate Impact Research, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086236078","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0002-5865-2285"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwest Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwest Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067487593","display_name":"Ze Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Yin","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680344","display_name":"Xianghua Li","orcid":"https://orcid.org/0000-0003-0253-3882"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwest Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwest Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085207296","display_name":"J\u00fcrgen Kurths","orcid":"https://orcid.org/0000-0002-5926-4276"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]},{"id":"https://openalex.org/I60200437","display_name":"Potsdam Institute for Climate Impact Research","ror":"https://ror.org/03e8s1d88","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I60200437"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Juergen Kurths","raw_affiliation_strings":["Potsdam Institute for Climate Impact Research &amp; Department of Physics, Humboldt-Universit\u00e4t zu Berlin, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Potsdam Institute for Climate Impact Research &amp; Department of Physics, Humboldt-Universit\u00e4t zu Berlin, Potsdam, Germany","institution_ids":["https://openalex.org/I60200437","https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101516082"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":36.5254,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99809702,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4652","last_page":"4663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799904108047485},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5593055486679077},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44953256845474243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37599417567253113},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34406131505966187},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31688040494918823},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1492878794670105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13283947110176086},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08000838756561279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799904108047485},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5593055486679077},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44953256845474243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37599417567253113},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34406131505966187},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31688040494918823},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1492878794670105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13283947110176086},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08000838756561279}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637528.3672024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3672024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.pik-potsdam.de:item_30719","is_oa":false,"landing_page_url":"https://publications.pik-potsdam.de/pubman/item/item_30719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400891","display_name":"Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60200437","host_organization_name":"Potsdam Institute for Climate Impact Research","host_organization_lineage":["https://openalex.org/I60200437"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2742330194","https://openalex.org/W2763572884","https://openalex.org/W2809476703","https://openalex.org/W2898322439","https://openalex.org/W2906971970","https://openalex.org/W2951307134","https://openalex.org/W2964184826","https://openalex.org/W2997128522","https://openalex.org/W3031781733","https://openalex.org/W3034020579","https://openalex.org/W3035281110","https://openalex.org/W3080922200","https://openalex.org/W3114204117","https://openalex.org/W3120830642","https://openalex.org/W3127569499","https://openalex.org/W3153567752","https://openalex.org/W3155131971","https://openalex.org/W3163083951","https://openalex.org/W3175836411","https://openalex.org/W3176191710","https://openalex.org/W3201124874","https://openalex.org/W3207300989","https://openalex.org/W3210131246","https://openalex.org/W3217136206","https://openalex.org/W4212774754","https://openalex.org/W4214634256","https://openalex.org/W4221148143","https://openalex.org/W4221168025","https://openalex.org/W4224308992","https://openalex.org/W4224310546","https://openalex.org/W4224313980","https://openalex.org/W4224318954","https://openalex.org/W4224324956","https://openalex.org/W4246632162","https://openalex.org/W4284702440","https://openalex.org/W4290927845","https://openalex.org/W4306317355","https://openalex.org/W4312347724","https://openalex.org/W4320024039","https://openalex.org/W4321485409","https://openalex.org/W4365799947","https://openalex.org/W4367046795","https://openalex.org/W4383175621","https://openalex.org/W4385565698","https://openalex.org/W4387848573"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W4310420093","https://openalex.org/W3136979370","https://openalex.org/W2058170566"],"abstract_inverted_index":{"The":[0],"rise":[1],"of":[2,29,74,81,182,192],"social":[3],"media":[4],"has":[5],"intensified":[6],"fake":[7],"news":[8,55,75],"risks,":[9],"prompting":[10],"a":[11,123,158,164],"growing":[12],"focus":[13],"on":[14,128],"leveraging":[15],"graph":[16,21,50,162,169],"learning":[17],"methods":[18,33],"such":[19],"as":[20,41,163],"neural":[22],"networks":[23],"(GNNs)":[24],"to":[25,53,78,111,134,147,174],"understand":[26],"post-spread":[27],"patterns":[28,69],"news.":[30],"However,":[31],"existing":[32],"often":[34],"produce":[35],"less":[36],"robust":[37],"and":[38,179,190],"interpretable":[39],"results":[40],"they":[42,65],"assume":[43],"that":[44],"all":[45],"information":[46,130],"within":[47,117],"the":[48,54,87,104,129,139,168,172,187],"propagation":[49,76,118,150,161,177],"is":[51],"relevant":[52],"item,":[56],"without":[57],"adequately":[58],"eliminating":[59],"noise":[60,114,140],"from":[61,115],"engaged":[62],"users.":[63,145,183],"Furthermore,":[64],"inadequately":[66],"capture":[67,148,175],"intricate":[68],"inherent":[70],"in":[71],"long-sequence":[72,154],"dependencies":[73],"due":[77],"their":[79,92],"use":[80],"shallow":[82],"GNNs":[83],"aimed":[84],"at":[85],"avoiding":[86],"over-smoothing":[88],"issue,":[89],"consequently":[90],"diminishing":[91],"overall":[93],"accuracy.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98,156],"address":[99],"these":[100],"issues":[101],"by":[102],"proposing":[103],"Propagation":[105],"Structure-aware":[106],"Graph":[107],"Transformer":[108],"(PSGT).":[109],"Specifically,":[110],"filter":[112],"out":[113],"users":[116],"graphs,":[119],"PSGT":[120],"first":[121],"designs":[122],"noise-reduction":[124],"self-attention":[125],"mechanism":[126],"based":[127],"bottleneck":[131],"principle,":[132],"aiming":[133],"minimize":[135],"or":[136],"completely":[137],"remove":[138],"attention":[141],"links":[142],"among":[143],"task-irrelevant":[144],"Moreover,":[146],"multi-scale":[149],"structures":[151],"while":[152],"considering":[153],"features,":[155],"present":[157],"novel":[159],"relational":[160],"position":[165],"encoding":[166],"for":[167],"Transformer,":[170],"enabling":[171],"model":[173],"both":[176],"depth":[178],"distance":[180],"relationships":[181],"Extensive":[184],"experiments":[185],"demonstrate":[186],"effectiveness,":[188],"interpretability,":[189],"robustness":[191],"our":[193],"PSGT.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
