{"id":"https://openalex.org/W7143464951","doi":"https://doi.org/10.1145/3805037","title":"Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation","display_name":"Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7143464951","doi":"https://doi.org/10.1145/3805037"},"language":"en","primary_location":{"id":"doi:10.1145/3805037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805037","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3805037","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130948885","display_name":"Haoran Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Duan","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2751-2589","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101263893","display_name":"Beibei Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Beibei Yu","raw_affiliation_strings":["Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4525-4373","affiliations":[{"raw_affiliation_string":"Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130977007","display_name":"Cheng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xie","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-4484-7428","affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101937754","display_name":"Linyu Li","orcid":"https://orcid.org/0009-0005-8626-0608"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyu Li","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-8626-0608","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130957310","display_name":"Zhenli He","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenli He","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-7986-2222","affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130993931","display_name":"Xin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["School of Software, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-2211-2006","affiliations":[{"raw_affiliation_string":"School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35054738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"5","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9871000051498413,"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":0.9871000051498413,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.006200000178068876,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6575999855995178},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5439000129699707},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5157999992370605},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45570001006126404},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.3815000057220459},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.37380000948905945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124000191688538},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6575999855995178},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5439000129699707},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.521399974822998},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5157999992370605},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4708000123500824},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.37380000948905945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33730000257492065},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805037","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1145/3805037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805037","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4250039756298065}],"awards":[{"id":"https://openalex.org/G6231863204","display_name":null,"funder_award_id":"62106216 and 62162064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2743104969","https://openalex.org/W2911286998","https://openalex.org/W2952205826","https://openalex.org/W2952343887","https://openalex.org/W2965857891","https://openalex.org/W2997686727","https://openalex.org/W3002924435","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3035524453","https://openalex.org/W3035719901","https://openalex.org/W3080997787","https://openalex.org/W3166423611","https://openalex.org/W3171007011","https://openalex.org/W3172710079","https://openalex.org/W4221160818","https://openalex.org/W4224324140","https://openalex.org/W4283796586","https://openalex.org/W4382202833","https://openalex.org/W4382317738","https://openalex.org/W4386134438","https://openalex.org/W4400275265","https://openalex.org/W4401865185","https://openalex.org/W4412394838","https://openalex.org/W4415120361","https://openalex.org/W7133203791"],"related_works":[],"abstract_inverted_index":{"Self-supervised":[0],"heterogeneous":[1,12,47,112,149],"graph":[2,48,75,96,122,134,150],"representation":[3,127,135],"learning":[4],"(SSHGRL)":[5],"is":[6,128],"a":[7,104,124],"key":[8],"technique":[9],"for":[10],"embedding":[11],"graphs,":[13],"enabling":[14],"effective":[15,133],"analysis":[16],"and":[17,22,32,140,147],"modeling":[18],"of":[19,35,73,155],"social":[20,36],"networks":[21],"other":[23],"graph-structured":[24],"data,":[25],"which":[26],"are":[27,42,65],"central":[28],"to":[29,45,51,93,110,130],"knowledge":[30],"discovery":[31],"the":[33,52,61,79,84,90,120,132,153],"study":[34],"systems.":[37],"However,":[38],"existing":[39,62],"SSHGRL":[40],"methods":[41],"hardly":[43],"applied":[44],"large-scale":[46],"environments":[49],"due":[50],"normally":[53,66],"used":[54],"metapath":[55],"decomposing":[56],"mechanism":[57,109],"being":[58],"graph-size-sensitive.":[59],"Moreover,":[60,117],"self-supervised":[63],"signals":[64],"created":[67],"from":[68],"Shared":[69],"Mutual":[70],"Information":[71],"(SMI)":[72],"different":[74],"views":[76],"that":[77],"ignore":[78],"Non-SMI":[80],"(NMI)":[81],"contained":[82],"in":[83,89,162],"same":[85],"view.":[86],"This":[87],"results":[88],"model":[91],"tending":[92],"learn":[94,131],"insufficient":[95],"representation.":[97],"To":[98],"this":[99,101],"end,":[100],"article":[102],"proposes":[103],"designated":[105],"masking":[106],"propagation":[107],"(DMP)":[108],"process":[111],"graphs":[113],"without":[114],"using":[115],"metapath.":[116],"based":[118],"on":[119,144],"DMP":[121],"view,":[123],"novel":[125],"sufficient":[126],"proposed":[129],"by":[136],"combining":[137],"both":[138],"NMI":[139],"SMI.":[141],"Extensive":[142],"experiments":[143],"eight":[145],"large-":[146],"medium-scale":[148],"datasets":[151],"demonstrate":[152],"superiority":[154],"our":[156],"method,":[157],"setting":[158],"new":[159],"state-of-the-art":[160],"performance":[161],"various":[163],"big":[164],"data":[165],"contexts.":[166]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-31T00:00:00"}