{"id":"https://openalex.org/W3114303065","doi":"https://doi.org/10.1109/tkde.2020.3045924","title":"Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark","display_name":"Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark","publication_year":2020,"publication_date":"2020-12-21","ids":{"openalex":"https://openalex.org/W3114303065","doi":"https://doi.org/10.1109/tkde.2020.3045924","mag":"3114303065","pmid":"https://pubmed.ncbi.nlm.nih.gov/37915376"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3045924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3045924","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10619966/pdf/nihms-1835827.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9145-4531","affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023797825","display_name":"Yuxin Xiao","orcid":"https://orcid.org/0000-0001-7251-6557"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxin Xiao","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7251-6557","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003837744","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-0540-6758"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Urbana Champaign, University of Illinois, Champaign, IL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0540-6758","affiliations":[{"raw_affiliation_string":"Urbana Champaign, University of Illinois, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213473","display_name":"Yizhou Sun","orcid":"https://orcid.org/0000-0003-1812-6843"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Sun","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1812-6843","affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["Urbana Champaign, University of Illinois, Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Urbana Champaign, University of Illinois, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.6984,"has_fulltext":true,"cited_by_count":319,"citation_normalized_percentile":{"value":0.99658897,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"4854","last_page":"4873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.8573302030563354},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6479837894439697},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5020575523376465},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5005595684051514},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46553128957748413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4590339660644531},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4515194594860077},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3881574869155884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37001198530197144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36235421895980835},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32714852690696716},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1450900435447693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8573302030563354},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6479837894439697},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5020575523376465},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5005595684051514},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46553128957748413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4590339660644531},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4515194594860077},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3881574869155884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37001198530197144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36235421895980835},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32714852690696716},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1450900435447693},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2020.3045924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3045924","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmid:37915376","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37915376","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on knowledge and data engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10619966","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10619966","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10619966/pdf/nihms-1835827.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Knowl Data Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10619966","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10619966","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10619966/pdf/nihms-1835827.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Knowl Data Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1472423617","display_name":null,"funder_award_id":"FA8750-19-2-1004","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G3574042399","display_name":null,"funder_award_id":"W911NF- 09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G3724958395","display_name":null,"funder_award_id":"W911NF-13-1-0193","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G4219326155","display_name":null,"funder_award_id":"U54 GM114838","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G5490100290","display_name":null,"funder_award_id":"HDTRA11810026","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G8851674072","display_name":null,"funder_award_id":"W911NF-17-C-0099","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3114303065.pdf"},"referenced_works_count":177,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1560724230","https://openalex.org/W1888005072","https://openalex.org/W1967863517","https://openalex.org/W1975563293","https://openalex.org/W2001141328","https://openalex.org/W2022166150","https://openalex.org/W2039118116","https://openalex.org/W2053186076","https://openalex.org/W2062797058","https://openalex.org/W2080133951","https://openalex.org/W2084677224","https://openalex.org/W2090891622","https://openalex.org/W2100582962","https://openalex.org/W2109628770","https://openalex.org/W2130354913","https://openalex.org/W2133299088","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2184957013","https://openalex.org/W2194775991","https://openalex.org/W2210549170","https://openalex.org/W2217869562","https://openalex.org/W2283196293","https://openalex.org/W2295598076","https://openalex.org/W2393319904","https://openalex.org/W2466124480","https://openalex.org/W2507683862","https://openalex.org/W2515937607","https://openalex.org/W2577283662","https://openalex.org/W2584187726","https://openalex.org/W2584848220","https://openalex.org/W2593560537","https://openalex.org/W2604314403","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2614812929","https://openalex.org/W2728059831","https://openalex.org/W2739792742","https://openalex.org/W2740454492","https://openalex.org/W2742503211","https://openalex.org/W2743104969","https://openalex.org/W2743159750","https://openalex.org/W2743289629","https://openalex.org/W2744097819","https://openalex.org/W2759136286","https://openalex.org/W2767774008","https://openalex.org/W2768092833","https://openalex.org/W2772021946","https://openalex.org/W2782554945","https://openalex.org/W2787240649","https://openalex.org/W2787927827","https://openalex.org/W2789042518","https://openalex.org/W2792234394","https://openalex.org/W2803831897","https://openalex.org/W2808087697","https://openalex.org/W2808361044","https://openalex.org/W2808844541","https://openalex.org/W2808923352","https://openalex.org/W2809156873","https://openalex.org/W2809435521","https://openalex.org/W2885826990","https://openalex.org/W2889583850","https://openalex.org/W2895916606","https://openalex.org/W2896161497","https://openalex.org/W2898322439","https://openalex.org/W2898475587","https://openalex.org/W2903634148","https://openalex.org/W2904510605","https://openalex.org/W2906790032","https://openalex.org/W2906831717","https://openalex.org/W2907253296","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2911778742","https://openalex.org/W2913312729","https://openalex.org/W2913903407","https://openalex.org/W2914592219","https://openalex.org/W2914948266","https://openalex.org/W2915806464","https://openalex.org/W2932978649","https://openalex.org/W2945266622","https://openalex.org/W2946829651","https://openalex.org/W2949972983","https://openalex.org/W2950393809","https://openalex.org/W2951626319","https://openalex.org/W2952205826","https://openalex.org/W2952343887","https://openalex.org/W2962756421","https://openalex.org/W2962779748","https://openalex.org/W2962810718","https://openalex.org/W2962869320","https://openalex.org/W2962975498","https://openalex.org/W2963149704","https://openalex.org/W2963169753","https://openalex.org/W2963224980","https://openalex.org/W2963410212","https://openalex.org/W2963707260","https://openalex.org/W2963844113","https://openalex.org/W2963919031","https://openalex.org/W2965857891","https://openalex.org/W2966133050","https://openalex.org/W2969797059","https://openalex.org/W2977707586","https://openalex.org/W2982713744","https://openalex.org/W2984834462","https://openalex.org/W2987579681","https://openalex.org/W2988701063","https://openalex.org/W2989985603","https://openalex.org/W2997342017","https://openalex.org/W3003265726","https://openalex.org/W3003661976","https://openalex.org/W3003757034","https://openalex.org/W3004507689","https://openalex.org/W3005056635","https://openalex.org/W3007407495","https://openalex.org/W3009913494","https://openalex.org/W3012568466","https://openalex.org/W3012646920","https://openalex.org/W3012871709","https://openalex.org/W3016163458","https://openalex.org/W3023845949","https://openalex.org/W3023960840","https://openalex.org/W3035055211","https://openalex.org/W3042085764","https://openalex.org/W3080203535","https://openalex.org/W3080576782","https://openalex.org/W3080590811","https://openalex.org/W3081306295","https://openalex.org/W3081469395","https://openalex.org/W3098276446","https://openalex.org/W3098373677","https://openalex.org/W3098923689","https://openalex.org/W3100364066","https://openalex.org/W3101397996","https://openalex.org/W3102205844","https://openalex.org/W3102794461","https://openalex.org/W3103296573","https://openalex.org/W3103513278","https://openalex.org/W3104097132","https://openalex.org/W3104211877","https://openalex.org/W4210257598","https://openalex.org/W4226282904","https://openalex.org/W4251194840","https://openalex.org/W4287829537","https://openalex.org/W4291474301","https://openalex.org/W6608344535","https://openalex.org/W6631964550","https://openalex.org/W6677656871","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6682691769","https://openalex.org/W6687684126","https://openalex.org/W6713582119","https://openalex.org/W6718112784","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6747772516","https://openalex.org/W6748379693","https://openalex.org/W6748799445","https://openalex.org/W6753081417","https://openalex.org/W6754929296","https://openalex.org/W6758075616","https://openalex.org/W6760045743","https://openalex.org/W6762760276","https://openalex.org/W6763057493","https://openalex.org/W6766156693","https://openalex.org/W6767710714","https://openalex.org/W6767947683","https://openalex.org/W6769589523","https://openalex.org/W6770592035","https://openalex.org/W6772452955","https://openalex.org/W6774097426"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2144453115","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Since":[0,83],"real-world":[1,174],"objects":[2],"and":[3,9,22,43,50,66,110,158,195,205,218,222,231,240,260,265,275,290,296],"their":[4],"interactions":[5],"are":[6,128],"often":[7,129],"multi-modal":[8],"multi-typed,":[10],"heterogeneous":[11,71,171],"networks":[12,28],"have":[13],"been":[14,40,87],"widely":[15],"used":[16],"as":[17,94,178],"a":[18,60,80,88,103,170,250,257],"more":[19],"powerful,":[20],"realistic,":[21],"generic":[23,104],"superclass":[24],"of":[25,91,98,115,140,150,208,267,294],"traditional":[26],"homogeneous":[27],"(graphs).":[29],"Meanwhile,":[30,270],"representation":[31],"learning":[32],"(":[33,300],"<italic":[34,196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,197,302],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a.k.a.</i>":[36],"embedding)":[37],"has":[38,85],"recently":[39],"intensively":[41],"studied":[42],"shown":[44],"effective":[45,155],"for":[46,106,226,262],"various":[47,116,165,188],"network":[48,72,172],"mining":[49],"analytical":[51],"tasks.":[52],"In":[53],"this":[54,99],"work,":[55],"we":[56,101,182,215,253,277],"aim":[57,254],"to":[58,63,136,168,255,279,288],"provide":[59,102,232,256],"unified":[61,251],"framework":[62],"deeply":[64],"summarize":[65],"evaluate":[67],"existing":[68,117,121,246,295],"research":[69],"on":[70,131],"embedding":[73],"(HNE),":[74],"which":[75],"includes":[76],"but":[77],"goes":[78],"beyond":[79],"normal":[81],"survey.":[82],"there":[84],"already":[86],"broad":[89],"body":[90],"HNE":[92,118,122,209,229,247,268,298],"algorithms,":[93,123,230],"the":[95,107,113,137,147,164,179,212,220,263,281,292],"first":[96],"contribution":[97],"article,":[100],"paradigm":[105],"systematic":[108],"categorization":[109],"analysis":[111],"over":[112,237],"merits":[114],"algorithms.":[119,210,269],"Moreover,":[120],"though":[124],"mostly":[125],"claimed":[126],"generic,":[127],"evaluated":[130],"different":[132,201],"datasets.":[133],"Understandable":[134],"due":[135],"application":[138,175],"favor":[139],"HNE,":[141],"such":[142],"indirect":[143],"comparisons":[144,234],"largely":[145],"hinder":[146],"proper":[148],"attribution":[149],"improved":[151],"task":[152],"performance":[153,293],"towards":[154,203],"data":[156,274],"preprocessing":[157],"novel":[159],"technical":[160],"design,":[161],"especially":[162],"considering":[163],"ways":[166],"possible":[167],"construct":[169],"from":[173,200],"data.":[176],"Therefore,":[177],"second":[180],"contribution,":[181,214],"create":[183,223],"four":[184],"benchmark":[185,286],"datasets":[186],"with":[187,283],"properties":[189],"regarding":[190],"scale,":[191],"structure,":[192],"attribute/label":[193],"availability,":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">etc</i>":[198],".":[199],"sources,":[202],"handy":[204],"fair":[206],"evaluations":[207],"As":[211],"third":[213],"carefully":[216],"refactor":[217],"amend":[219],"implementations":[221],"friendly":[224],"interfaces":[225],"13":[227],"popular":[228],"all-around":[233],"among":[235],"them":[236],"multiple":[238],"tasks":[239],"experimental":[241],"settings.":[242],"By":[243],"putting":[244],"all":[245,273],"algorithms":[248,299],"under":[249],"framework,":[252],"universal":[258],"reference":[259],"guideline":[261],"understanding":[264],"development":[266],"by":[271],"open-sourcing":[272],"code,":[276],"envision":[278],"serve":[280],"community":[282],"an":[284],"ready-to-use":[285],"platform":[287],"test":[289],"compare":[291],"future":[297],"<uri":[301],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/yangji9181/HNE</uri>":[303],").":[304]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":51},{"year":2024,"cited_by_count":62},{"year":2023,"cited_by_count":79},{"year":2022,"cited_by_count":52},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
