{"id":"https://openalex.org/W3201327385","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533519","title":"Session-based Recommendation with Heterogeneous Graph Neural Networks","display_name":"Session-based Recommendation with Heterogeneous Graph Neural Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201327385","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533519","mag":"3201327385"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5100781025","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0001-6435-6055"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053741355","display_name":"Wu-Dong Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu-Dong Xi","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100781025"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.7541,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91777354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9957000017166138,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.9318087100982666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8455144166946411},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7293955087661743},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5648510456085205},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38258492946624756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3461868166923523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33276909589767456},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2094414234161377},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19012239575386047}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.9318087100982666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8455144166946411},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7293955087661743},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5648510456085205},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38258492946624756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3461868166923523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33276909589767456},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2094414234161377},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19012239575386047},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5409299611","display_name":null,"funder_award_id":"61876193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1479822238","https://openalex.org/W1989318262","https://openalex.org/W1994389483","https://openalex.org/W2000562880","https://openalex.org/W2040367556","https://openalex.org/W2042281163","https://openalex.org/W2095705004","https://openalex.org/W2138108551","https://openalex.org/W2171279286","https://openalex.org/W2604015085","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2900791133","https://openalex.org/W2950898568","https://openalex.org/W2962711740","https://openalex.org/W2963367478","https://openalex.org/W2963403868","https://openalex.org/W2963716836","https://openalex.org/W2963858333","https://openalex.org/W2964044287","https://openalex.org/W2964316331","https://openalex.org/W2964654358","https://openalex.org/W2964926209","https://openalex.org/W2986515219","https://openalex.org/W3031331881","https://openalex.org/W3034329572","https://openalex.org/W3090384085","https://openalex.org/W3101201690","https://openalex.org/W3101707147","https://openalex.org/W3166827814","https://openalex.org/W3178807794","https://openalex.org/W4297733535","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W6630221451","https://openalex.org/W6674330103","https://openalex.org/W6685115820","https://openalex.org/W6685265622","https://openalex.org/W6690815549","https://openalex.org/W6692935382","https://openalex.org/W6739901393","https://openalex.org/W6745537798","https://openalex.org/W6754929296","https://openalex.org/W6784004498"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,17],"aim":[1],"of":[2,57,93,107],"session-based":[3,21],"recommendation":[4,22],"is":[5],"to":[6,47,64,69,88],"predict":[7],"the":[8,13,25,54,58,71,105],"next-clicked":[9],"item":[10],"based":[11],"on":[12,20,100],"anonymous":[14],"behavior":[15],"sequence.":[16],"existing":[18],"works":[19],"mainly":[23],"capture":[24],"user":[26,55],"preference":[27,56],"within":[28],"an":[29],"individual":[30],"session.":[31,60],"This":[32],"paper":[33],"proposes":[34],"a":[35,66,85],"novel":[36,86],"approach,":[37],"called":[38],"Session-based":[39],"Recommendation":[40],"with":[41,84,111],"Heterogeneous":[42],"Graph":[43],"Neural":[44],"Networks":[45],"(SR-HGNN)":[46],"exploit":[48],"cross-session":[49,76],"information":[50,77],"for":[51],"better":[52],"inferring":[53],"current":[59,72],"Specifically,":[61],"we":[62,81],"propose":[63],"use":[65],"heterogeneous":[67],"graph":[68],"model":[70,87],"session":[73],"sequence":[74],"and":[75],"simultaneously.":[78],"After":[79],"that,":[80],"come":[82],"up":[83],"pass":[89],"messages":[90],"along":[91],"edges":[92],"different":[94,112],"types":[95],"hierarchically.":[96],"Extensive":[97],"experiments":[98],"conducted":[99],"three":[101],"real-world":[102],"datasets":[103],"demonstrate":[104],"superiority":[106],"SR-HGNN":[108],"by":[109],"comparing":[110],"state-of-the-art":[113],"baselines.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
