{"id":"https://openalex.org/W2981315114","doi":"https://doi.org/10.1145/3350546.3360738","title":"EpiRep: Learning Node Representations through Epidemic Dynamics on Networks","display_name":"EpiRep: Learning Node Representations through Epidemic Dynamics on Networks","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2981315114","doi":"https://doi.org/10.1145/3350546.3360738","mag":"2981315114"},"language":"en","primary_location":{"id":"doi:10.1145/3350546.3360738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350546.3360738","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5048137853","display_name":"Benyun Shi","orcid":"https://orcid.org/0000-0003-2734-3794"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benyun Shi","raw_affiliation_strings":["Nanjing Tech University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039041415","display_name":"Jianan Zhong","orcid":"https://orcid.org/0000-0003-3311-6889"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Zhong","raw_affiliation_strings":["Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001002231","display_name":"Qing Bao","orcid":"https://orcid.org/0000-0002-3550-5098"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Bao","raw_affiliation_strings":["Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052068543","display_name":"Hongjun Qiu","orcid":"https://orcid.org/0000-0003-3239-4473"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Qiu","raw_affiliation_strings":["Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062375227","display_name":"Jiming Liu","orcid":"https://orcid.org/0000-0002-8669-9064"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiming Liu","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"486","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9977999925613403,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6700164675712585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6601511836051941},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5833989977836609},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4032122492790222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34196674823760986},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08942368626594543}],"concepts":[{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6700164675712585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601511836051941},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5833989977836609},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4032122492790222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34196674823760986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08942368626594543},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3350546.3360738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350546.3360738","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2868392903","display_name":"\u57fa\u4e8e\u7f51\u7edc\u591a\u5143\u7ed3\u6784\u7684\u81ea\u4e3b\u514d\u75ab\u7b56\u7565\u7814\u7a76","funder_award_id":"LQ19F030011","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W1888005072","https://openalex.org/W1971421925","https://openalex.org/W1978710835","https://openalex.org/W1994320166","https://openalex.org/W2034356849","https://openalex.org/W2038195874","https://openalex.org/W2070722739","https://openalex.org/W2071175583","https://openalex.org/W2088412871","https://openalex.org/W2090891622","https://openalex.org/W2123499070","https://openalex.org/W2124637492","https://openalex.org/W2127048411","https://openalex.org/W2142535891","https://openalex.org/W2147164982","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2155418451","https://openalex.org/W2156718197","https://openalex.org/W2163922914","https://openalex.org/W2393319904","https://openalex.org/W2564084673","https://openalex.org/W2566971417","https://openalex.org/W2583803680","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2622489478","https://openalex.org/W2624431344","https://openalex.org/W2735272571","https://openalex.org/W2743104969","https://openalex.org/W2768092833","https://openalex.org/W2918988263","https://openalex.org/W2921596575","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2962975498","https://openalex.org/W2963460103","https://openalex.org/W2963734869","https://openalex.org/W3102641634","https://openalex.org/W3102853179","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4211091012","https://openalex.org/W4212942297"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Understanding":[0],"the":[1,29,46,86,94,124,134,142,145,152,158,175,217],"dynamic":[2,99],"properties":[3],"of":[4,31,37,48,56,97,101,119,126,129,187,219],"epidemic":[5,22,102,153,220],"spreading":[6,103,221],"on":[7,72,93,104,141,155,192,222],"complex":[8],"social":[9,105,223],"networks":[10],"is":[11,50,148,165],"essential":[12],"to":[13,39,51,115,133,150,167],"make":[14],"effective":[15],"and":[16,24,83,157,190,195,201,213],"efficient":[17],"public":[18],"health":[19],"policies":[20],"for":[21,210],"prevention":[23,215],"control.":[25],"In":[26],"recent":[27],"years,":[28],"concept":[30],"network":[32,43,75,121],"embedding":[33,67,95,111,183],"has":[34],"attracted":[35],"lots":[36],"attention":[38],"deal":[40],"with":[41,162],"various":[42],"analytic":[44],"tasks,":[45],"purpose":[47],"which":[49],"encode":[52],"relationships":[53],"or":[54],"information":[55],"networked":[57],"elements":[58],"into":[59],"a":[60,109,120],"low-dimensional":[61],"vector":[62],"space.":[63],"However,":[64],"most":[65],"existing":[66],"methods":[68,184],"have":[69],"focused":[70],"mainly":[71],"preserving":[73,98,127],"static":[74],"information,":[76],"such":[77],"as":[78],"structural":[79],"proximity,":[80],"node/edge":[81],"attributes,":[82],"labels.":[84],"On":[85],"contrary,":[87],"in":[88,185,203,216],"this":[89,204],"paper,":[90],"we":[91],"focus":[92],"problem":[96],"characteristics":[100],"networks.":[106,197,224],"We":[107],"propose":[108],"novel":[110],"method,":[112],"namely":[113],"EpiRep,":[114],"learn":[116],"node":[117,140,169,188],"representations":[118],"by":[122],"maximizing":[123],"likelihood":[125],"groups":[128],"infected":[130],"nodes":[131],"due":[132],"epidemics":[135],"starting":[136],"from":[137],"every":[138],"single":[139],"network.":[143],"Specifically,":[144],"Susceptible-Infectious":[146],"model":[147,161],"adopted":[149],"simulate":[151],"dynamics":[154],"networks,":[156],"Continuous":[159],"Bag-of-Words":[160],"negative":[163],"sampling":[164],"used":[166],"obtain":[168],"representations.":[170],"Experimental":[171],"results":[172],"show":[173],"that":[174],"EpiRep":[176],"method":[177,200],"outperforms":[178],"two":[179],"benchmark":[180],"random-walk":[181],"based":[182],"terms":[186],"clustering":[189],"classification":[191],"several":[193],"synthetic":[194],"real-world":[196],"The":[198],"proposed":[199],"findings":[202],"paper":[205],"may":[206],"offer":[207],"new":[208],"insight":[209],"source":[211],"identification":[212],"infection":[214],"face":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}