{"id":"https://openalex.org/W3118486513","doi":"https://doi.org/10.1145/3444370.3444568","title":"A Survey of Algorithms and Applications Related with Graph Embedding","display_name":"A Survey of Algorithms and Applications Related with Graph Embedding","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3118486513","doi":"https://doi.org/10.1145/3444370.3444568","mag":"3118486513"},"language":"en","primary_location":{"id":"doi:10.1145/3444370.3444568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","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/A5073834405","display_name":"Shicong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicong Chen","raw_affiliation_strings":["School of information and cyber security, People's Public Security University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information and cyber security, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009451103","display_name":"Shuhua Huang","orcid":"https://orcid.org/0000-0003-3569-7891"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhua Huang","raw_affiliation_strings":["School of information and cyber security, People's Public Security University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information and cyber security, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102775135","display_name":"Deyu Yuan","orcid":"https://orcid.org/0000-0003-2118-9263"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Yuan","raw_affiliation_strings":["School of information and cyber security, People's Public Security University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information and cyber security, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455132","display_name":"Xiaofan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhao","raw_affiliation_strings":["School of information and cyber security, People's Public Security University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information and cyber security, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37448385"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"185"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187912464141846},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5741499662399292},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5362566709518433},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5161193609237671},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5060853362083435},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4362962245941162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39486345648765564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38472476601600647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36029165983200073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3201924264431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187912464141846},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5741499662399292},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5362566709518433},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5161193609237671},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5060853362083435},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4362962245941162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39486345648765564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38472476601600647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36029165983200073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3201924264431}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3444370.3444568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444370.3444568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W36903255","https://openalex.org/W1508045687","https://openalex.org/W1665214252","https://openalex.org/W1888005072","https://openalex.org/W1978400666","https://openalex.org/W2001141328","https://openalex.org/W2025768430","https://openalex.org/W2052261215","https://openalex.org/W2053186076","https://openalex.org/W2132092465","https://openalex.org/W2138243089","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2740934577","https://openalex.org/W2792353048","https://openalex.org/W3104097132","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2123605750","https://openalex.org/W2912814903","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W1559483280","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"The":[0,100],"network":[1,27,48,82,97,182],"is":[2,71,79],"a":[3,73,130],"crucial":[4],"form":[5],"of":[6,17,22,46,66,107,121,158,181],"representing":[7],"the":[8,14,20,47,51,57,91,103,112,119,126,138,156,159,171,175,179],"relationship":[9],"between":[10],"entities.":[11],"Recently,":[12],"with":[13,63],"rapid":[15],"development":[16,105],"machine":[18],"learning,":[19,184],"application":[21,193],"graph":[23,68,108,143,185],"embedding":[24,54,69,109,144,186],"in":[25,161,178],"complex":[26],"systems":[28],"such":[29,164],"as":[30,129,165],"social":[31],"networks":[32,35],"and":[33,39,88,111,136,140,174,192],"information":[34,65,83],"has":[36],"become":[37],"more":[38,40],"widespread.":[41],"From":[42],"early":[43],"Euclidean":[44],"distance":[45],"structure":[49],"to":[50,56,80,116,133],"shallow":[52],"word":[53],"model,":[55],"present":[58],"deep":[59],"auto-encoder":[60],"that":[61],"combines":[62],"additional":[64],"nodes,":[67],"technology":[70,110,177],"undergoing":[72],"great":[74],"leap.":[75],"Its":[76],"core":[77],"idea":[78],"compress":[81],"into":[84],"low-dimensional":[85],"dense":[86],"vectors,":[87],"then":[89],"use":[90],"obtained":[92],"feature":[93],"vectors":[94],"for":[95],"practical":[96],"analysis":[98],"tasks.":[99],"survey":[101],"introduces":[102],"current":[104,141],"status":[106],"upcoming":[113],"challenges":[114],"brought":[115],"us":[117],"by":[118],"limitations":[120],"processing":[122],"data.":[123],"We":[124],"take":[125],"time":[127],"sequence":[128],"rough":[131],"baseline":[132],"systematically":[134],"classify":[135],"summarize":[137],"traditional":[139],"mainstream":[142],"methods":[145],"based":[146],"on":[147],"different":[148],"fundamental":[149],"principles.":[150],"In":[151],"addition,":[152],"we":[153],"also":[154],"enumerate":[155],"applications":[157],"algorithm":[160],"various":[162],"scenarios":[163],"link":[166],"prediction,":[167],"node":[168],"classification.":[169],"As":[170],"frontier":[172],"topic":[173],"cutting-edge":[176],"field":[180],"representation":[183],"possesses":[187],"extremely":[188],"vital":[189],"academic":[190],"value":[191],"prospects.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}