{"id":"https://openalex.org/W4380632725","doi":"https://doi.org/10.31577/cai_2023_2_257","title":"ASIAM-HGNN: Automatic Selection and Interpretable Aggregation of Meta-Path Instances for Heterogeneous Graph Neural Network","display_name":"ASIAM-HGNN: Automatic Selection and Interpretable Aggregation of Meta-Path Instances for Heterogeneous Graph Neural Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380632725","doi":"https://doi.org/10.31577/cai_2023_2_257"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2023_2_257","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_257","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_257/1217","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_257/1217","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071360876","display_name":"Xiaojun Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojun Lou","raw_affiliation_strings":["Department of School of Mathematics and Computer, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Mathematics and Computer, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072386697","display_name":"Guanjun Liu","orcid":"https://orcid.org/0000-0002-7523-4827"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanjun Liu","raw_affiliation_strings":["Department of Computer Science, Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai 201804, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402550","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-9225-6489"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of School of Mathematics and Computer, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"Department of School of Mathematics and Computer, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071360876"],"corresponding_institution_ids":["https://openalex.org/I1284762954"],"apc_list":null,"apc_paid":null,"fwci":0.8565,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78232592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"42","issue":"2","first_page":"257","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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":0.9976000189781189,"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/T10320","display_name":"Neural Networks and Applications","score":0.9932000041007996,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.882110595703125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7934337854385376},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5900324583053589},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5357702374458313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299564003944397},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4883112907409668},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4696062505245209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42209839820861816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4175247550010681},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33927199244499207}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.882110595703125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934337854385376},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5900324583053589},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5357702374458313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299564003944397},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4883112907409668},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4696062505245209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42209839820861816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4175247550010681},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33927199244499207},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2023_2_257","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_257","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_257/1217","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2023_2_257","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_257","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_257/1217","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4446273622","display_name":null,"funder_award_id":"11105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4971678349","display_name":null,"funder_award_id":"22511105500","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380632725.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1888005072","https://openalex.org/W2022322548","https://openalex.org/W2029014329","https://openalex.org/W2145658888","https://openalex.org/W2164259805","https://openalex.org/W2546547051","https://openalex.org/W2577283662","https://openalex.org/W2584620251","https://openalex.org/W2604314403","https://openalex.org/W2743104969","https://openalex.org/W2788725334","https://openalex.org/W2789042518","https://openalex.org/W2809435521","https://openalex.org/W2884134047","https://openalex.org/W2907253296","https://openalex.org/W2911286998","https://openalex.org/W2912415363","https://openalex.org/W2950723285","https://openalex.org/W2963707260","https://openalex.org/W2964015378","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2965857891","https://openalex.org/W2982648802","https://openalex.org/W2997461192","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3027041838","https://openalex.org/W3035861620","https://openalex.org/W3102205844","https://openalex.org/W3103513278","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W3184838450","https://openalex.org/W3199726267","https://openalex.org/W3205650396","https://openalex.org/W4246341667","https://openalex.org/W4294558607","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4383681494"],"abstract_inverted_index":{"In":[0,77],"heterogeneous":[1,87],"information":[2,48],"network":[3,90],"(HIN)-based":[4],"applications,":[5],"the":[6,42,47,52,55,71,93,115,124,140,144],"existing":[7,126],"methods":[8,23],"usually":[9],"use":[10],"Heterogeneous":[11],"Graph":[12],"Neural":[13],"Networks":[14],"(HGNN)":[15],"to":[16,79,122],"handle":[17],"some":[18,26,32,36],"complex":[19],"tasks.":[20],"However,":[21],"these":[22],"still":[24,45],"have":[25,62,150],"shortcomings:":[27],"1)":[28],"they":[29,61,67],"manually":[30],"pre-select":[31],"meta-paths":[33],"and":[34,49,59,96,139],"thus":[35],"important":[37,107],"ones":[38,44],"are":[39,134],"missing,":[40],"while":[41,113],"missing":[43],"contains":[46],"features":[50],"of":[51,99,132,156],"node":[53],"in":[54,74,127,154],"entire":[56],"graph":[57,88],"structure;":[58],"2)":[60],"no":[63],"high":[64],"interpretability":[65],"since":[66],"do":[68],"not":[69],"consider":[70],"logical":[72,116],"sequences":[73],"an":[75],"HIN.":[76],"order":[78],"deal":[80],"with":[81,92],"them,":[82],"we":[83],"propose":[84],"ASIAM-HGNN:":[85],"a":[86,151],"neural":[89],"combined":[91],"automatic":[94],"selection":[95],"interpretable":[97],"aggregation":[98],"meta-path":[100],"instances.":[101],"Our":[102],"model":[103],"can":[104],"automatically":[105],"filter":[106],"meta":[108],"paths":[109],"for":[110],"each":[111],"node,":[112],"preserving":[114],"sequence":[117],"between":[118],"nodes,":[119],"so":[120],"as":[121],"solve":[123],"problems":[125],"other":[128],"models.":[129],"A":[130],"group":[131],"experiments":[133],"conducted":[135],"on":[136],"real-world":[137],"datasets,":[138],"results":[141],"demonstrate":[142],"that":[143],"models":[145],"learned":[146],"by":[147],"our":[148],"method":[149],"better":[152],"performance":[153],"most":[155],"task":[157],"scenarios.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
