{"id":"https://openalex.org/W4402351352","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650394","title":"A Fast Heterogeneous Information Network Embedding Framework","display_name":"A Fast Heterogeneous Information Network Embedding Framework","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351352","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650394"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650394","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077525060","display_name":"Kuangmeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuangmeng Wang","raw_affiliation_strings":["College of Computer and Information Science Southwest University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113353372","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-4766-4221"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["College of Computer and Information Science Southwest University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"91","issue":null,"first_page":"1","last_page":"8"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7506777048110962},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5449851751327515},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.41796618700027466},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3287813067436218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18080127239227295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09534147381782532},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.07898029685020447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506777048110962},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5449851751327515},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.41796618700027466},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3287813067436218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18080127239227295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09534147381782532},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.07898029685020447},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650394","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W2041836310","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2623187518","https://openalex.org/W2743104969","https://openalex.org/W2945266622","https://openalex.org/W2962756421","https://openalex.org/W2963512530","https://openalex.org/W2964015378","https://openalex.org/W2964297465","https://openalex.org/W2964700358","https://openalex.org/W2965857891","https://openalex.org/W2974594200","https://openalex.org/W3011573100","https://openalex.org/W3037117187","https://openalex.org/W3043239945","https://openalex.org/W3094487086","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3108202858","https://openalex.org/W3143205592","https://openalex.org/W3175364065","https://openalex.org/W3210515266","https://openalex.org/W4291474301","https://openalex.org/W4294170691","https://openalex.org/W4297733535","https://openalex.org/W4306317368","https://openalex.org/W6636510571","https://openalex.org/W6726873649","https://openalex.org/W6777926273"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1927327903","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Heterogeneous":[0],"information":[1,67],"network":[2,24,58],"(HIN)":[3],"embedding":[4,25,59,81],"focuses":[5],"on":[6,94],"learning":[7],"the":[8,72,98,106,112,118],"low-dimensional":[9],"representations":[10],"of":[11,68,131],"nodes":[12,69],"and":[13,76,101,134],"meanwhile":[14],"preserving":[15],"their":[16,44],"characteristics.":[17],"However,":[18],"most":[19],"existing":[20],"algorithms":[21],"for":[22,82],"heterogeneous":[23,57],"suffer":[26],"from":[27],"high":[28],"computational":[29],"complexity":[30],"or":[31],"slow":[32],"convergence":[33],"speed.":[34],"Although":[35],"some":[36],"methods":[37],"have":[38],"been":[39],"introduced":[40],"to":[41,70,104,115],"enhance":[42],"efficiency,":[43],"performance":[45],"is":[46],"not":[47],"satisfactory.":[48],"To":[49],"tackle":[50],"this":[51],"challenge,":[52],"we":[53,63,96,110],"design":[54],"a":[55,78],"fast":[56],"framework":[60],"(FHNE).":[61],"Firstly,":[62],"fuse":[64],"high-order":[65],"neighbor":[66],"obtain":[71],"augmented":[73],"adjacency":[74],"matrix":[75],"generate":[77],"reasonable":[79],"initial":[80,113],"each":[83],"node":[84,119],"through":[85],"random":[86,91],"projection.":[87],"Then,":[88],"by":[89],"leveraging":[90],"walk":[92],"based":[93],"meta-paths,":[95],"utilize":[97],"first-order":[99],"proximity":[100,103],"second-order":[102],"construct":[105],"loss":[107],"function.":[108],"Subsequently,":[109],"fine-tune":[111],"embeddings":[114],"rapidly":[116],"learn":[117],"embeddings.":[120],"Extensive":[121],"experiments":[122],"demonstrate":[123],"that":[124],"FHNE":[125],"outperforms":[126],"state-of-the-art":[127],"approaches":[128],"in":[129],"terms":[130],"both":[132],"efficiency":[133],"effectiveness.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}