{"id":"https://openalex.org/W3002296068","doi":"https://doi.org/10.1145/3336191.3372182","title":"Learning from Heterogeneous Networks: Methods and Applications","display_name":"Learning from Heterogeneous Networks: Methods and Applications","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W3002296068","doi":"https://doi.org/10.1145/3336191.3372182","mag":"3002296068"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3372182","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3336191.3372182","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3336191.3372182","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3336191.3372182","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022275632","display_name":"Chuxu Zhang","orcid":"https://orcid.org/0000-0002-8349-7926"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuxu Zhang","raw_affiliation_strings":["University of Notre Dame, South Bend, IN, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, South Bend, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022275632"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62268785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"927","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9988999962806702,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9972000122070312,"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/heterogeneous-network","display_name":"Heterogeneous network","score":0.8267949819564819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7844622731208801},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6970713138580322},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5365007519721985},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5362787246704102},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4892425537109375},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4458092153072357},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3692244589328766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641992211341858},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1881973147392273},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.08472391963005066}],"concepts":[{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.8267949819564819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7844622731208801},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6970713138580322},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5365007519721985},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5362787246704102},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4892425537109375},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4458092153072357},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3692244589328766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641992211341858},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1881973147392273},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.08472391963005066},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3372182","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3336191.3372182","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3336191.3372182","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3336191.3372182","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3336191.3372182","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3336191.3372182","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1987529978","display_name":null,"funder_award_id":"1925607","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4360170584","display_name":"II-New: Infrastructure for Supporting Biomedical Application Algorithms, Runtime Development and Resource Management","funder_award_id":"1629914","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G7561134949","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3002296068.pdf","grobid_xml":"https://content.openalex.org/works/W3002296068.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2621465063","https://openalex.org/W2783855869","https://openalex.org/W2788456731","https://openalex.org/W2808005994","https://openalex.org/W2903749028","https://openalex.org/W2907253296","https://openalex.org/W2911535719","https://openalex.org/W2962736999","https://openalex.org/W2965857891","https://openalex.org/W2997198750","https://openalex.org/W2997738974","https://openalex.org/W6600503824"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W2081900870","https://openalex.org/W4391210591","https://openalex.org/W3012371152","https://openalex.org/W4366605471","https://openalex.org/W2159090624","https://openalex.org/W2606945902","https://openalex.org/W2370081772","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Complex":[0],"systems":[1,112],"in":[2,24,35,57,105,110],"different":[3,55],"disciplines":[4],"are":[5,20,61],"usually":[6],"modeled":[7],"as":[8,125],"heterogeneous":[9,18,25,28,36,70,114],"networks.":[10,71],"Different":[11],"from":[12,69],"homogeneous":[13],"networks":[14,19,37],"or":[15,27,30],"attributed":[16],"networks,":[17],"associated":[21],"with":[22],"complexity":[23],"structure":[26],"content":[29],"both.":[31],"The":[32],"abundant":[33],"information":[34],"provide":[38],"opportunities":[39],"yet":[40],"pose":[41],"challenges":[42],"for":[43,53,67],"researchers":[44],"and":[45,80,98,113],"practitioners":[46],"to":[47,63],"develop":[48],"customized":[49],"machine":[50],"learning":[51,68],"solutions":[52],"solving":[54],"problems":[56],"complex":[58],"systems.":[59],"We":[60],"motivated":[62],"do":[64],"significant":[65],"work":[66,90],"In":[72,117],"this":[73,83],"paper,":[74],"we":[75,86,120],"first":[76],"introduce":[77],"the":[78,106,118],"motivation":[79],"background":[81],"of":[82,95,108],"research.":[84],"Later,":[85],"present":[87],"our":[88],"current":[89],"which":[91],"include":[92],"a":[93],"series":[94],"proposed":[96],"methods":[97,101],"applications.":[99],"These":[100],"will":[102],"be":[103],"introduced":[104],"perspectives":[107],"personalization":[109],"web-based":[111],"network":[115],"embedding.":[116],"end,":[119],"raise":[121],"several":[122],"research":[123],"directions":[124],"future":[126],"agenda.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
