{"id":"https://openalex.org/W4405674525","doi":"https://doi.org/10.1145/3707645","title":"Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification","display_name":"Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification","publication_year":2024,"publication_date":"2024-12-21","ids":{"openalex":"https://openalex.org/W4405674525","doi":"https://doi.org/10.1145/3707645"},"language":"en","primary_location":{"id":"doi:10.1145/3707645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3707645","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5080947666","display_name":"Li Ma","orcid":"https://orcid.org/0000-0002-5712-2143"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ma","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-5712-2143","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617992","display_name":"Yongchao Liu","orcid":"https://orcid.org/0000-0003-3440-9675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongchao Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China","Ant Group, China"],"raw_orcid":"https://orcid.org/0000-0003-3440-9675","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Ant Group, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0003-1776-8799","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364041","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-7973-2746"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Guangzhou University, Guangzhou, China","Guangzhou University, China"],"raw_orcid":"https://orcid.org/0000-0001-7973-2746","affiliations":[{"raw_affiliation_string":"Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055553785","display_name":"Chuntao Hong","orcid":"https://orcid.org/0009-0009-3472-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuntao Hong","raw_affiliation_strings":["Ant Group, Hangzhou, China","Ant Group, China"],"raw_orcid":"https://orcid.org/0009-0009-3472-6102","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Ant Group, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65404438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"19","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9650999903678894,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9501000046730042,"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":0.762794017791748},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6688240766525269},{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.5991184711456299},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5878541469573975},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5012283325195312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4979431629180908},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4432278275489807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37316685914993286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3302663564682007},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1574680507183075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14759621024131775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762794017791748},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6688240766525269},{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.5991184711456299},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5878541469573975},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5012283325195312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4979431629180908},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4432278275489807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37316685914993286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3302663564682007},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1574680507183075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14759621024131775},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3707645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3707645","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4356175125","display_name":null,"funder_award_id":"U23A20309, 62272302, 62376064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8772480096","display_name":null,"funder_award_id":"2024YFF0617700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1997315949","https://openalex.org/W2602856279","https://openalex.org/W2604314403","https://openalex.org/W2903634148","https://openalex.org/W2911286998","https://openalex.org/W2912083425","https://openalex.org/W2945266622","https://openalex.org/W2949208225","https://openalex.org/W2965857891","https://openalex.org/W2970066309","https://openalex.org/W3003795821","https://openalex.org/W3012646920","https://openalex.org/W3012871709","https://openalex.org/W3081203761","https://openalex.org/W3093737498","https://openalex.org/W3116239416","https://openalex.org/W3153206160","https://openalex.org/W3156833186","https://openalex.org/W3175971420","https://openalex.org/W3205017380","https://openalex.org/W3213267662","https://openalex.org/W4226291731","https://openalex.org/W4280641716","https://openalex.org/W4290877962","https://openalex.org/W4321480027","https://openalex.org/W4360982173","https://openalex.org/W4366463135","https://openalex.org/W4367047306","https://openalex.org/W4380993339","https://openalex.org/W4382202833","https://openalex.org/W4382322776","https://openalex.org/W4385562555","https://openalex.org/W6748856961","https://openalex.org/W6767098714"],"related_works":["https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W3119171992","https://openalex.org/W2011190096","https://openalex.org/W2036947108","https://openalex.org/W2551042189"],"abstract_inverted_index":{"Message":[0],"passing":[1],"scheme":[2],"is":[3,46,58],"a":[4,20,35,145],"general":[5],"idea":[6],"for":[7,38,75,109],"Graph":[8],"Neural":[9],"Networks":[10],"(GNNs)":[11],"to":[12,103,133,148],"learn":[13],"node":[14],"representations.":[15],"During":[16],"message":[17,68],"passing,":[18,69],"given":[19],"target":[21,40],"node,":[22],"we":[23,87],"transform":[24],"and":[25,33,77,82,123,157],"aggregate":[26],"the":[27,39,60,101,117,120,125,161,170,175],"feature":[28],"vectors":[29],"of":[30,107,119,163,177],"its":[31],"neighbors":[32],"generate":[34],"representation":[36],"vector":[37],"node.":[41],"However,":[42],"real-world":[43],"graph":[44,98],"data":[45],"usually":[47],"constructed":[48],"from":[49],"complicated":[50],"scenarios":[51],"based":[52],"on":[53,137],"manually":[54],"pre-defined":[55],"rules;":[56],"it":[57],"often":[59],"case":[61],"that":[62,94,127,141],"noisy":[63,171],"information":[64],"gets":[65],"involved":[66],"in":[67,72],"thereby":[70],"resulting":[71],"sub-optimal":[73],"performance":[74,105],"GNNs":[76,108],"also":[78],"impacting":[79],"their":[80],"trustworthiness":[81],"reliability.":[83],"In":[84],"this":[85],"study,":[86],"present":[88],"an":[89,114],"effective":[90],"learnable":[91,121],"threshold":[92,122],"technique":[93],"explicitly":[95],"optimizes":[96],"heterogeneous":[97],"structure":[99],"with":[100,150,153],"goal":[102],"maximize":[104],"improvement":[106],"downstream":[110],"tasks.":[111],"We":[112],"give":[113],"explanation":[115],"about":[116],"design":[118],"show":[124,140],"ability":[126,147],"our":[128,142,166,178],"model":[129,143,167],"can":[130,168],"be":[131],"applied":[132],"large-scale":[134],"graphs.":[135,159],"Experiments":[136],"seven":[138],"datasets":[139],"has":[144],"powerful":[146],"deal":[149],"homogeneous":[151],"graphs":[152],"low":[154],"homophily":[155],"ratio":[156],"dense":[158],"With":[160],"verification":[162],"robustness":[164,176],"analysis,":[165],"resist":[169],"information,":[172],"which":[173],"proves":[174],"model.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}