{"id":"https://openalex.org/W7126044063","doi":"https://doi.org/10.1007/978-981-95-5640-3_10","title":"GRU-PFG: Extract Inter-stock Correlation from\u00a0Stock Factors with\u00a0Graph Neural Network","display_name":"GRU-PFG: Extract Inter-stock Correlation from\u00a0Stock Factors with\u00a0Graph Neural Network","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7126044063","doi":"https://doi.org/10.1007/978-981-95-5640-3_10"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-5640-3_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5640-3_10","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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":null,"display_name":"Yonggai Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggai Zhuang","raw_affiliation_strings":["School of Resources and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haoran Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Chen","raw_affiliation_strings":["Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kequan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kequan Wang","raw_affiliation_strings":["Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"last","author":{"id":null,"display_name":"Teng Fei","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Fei","raw_affiliation_strings":["School of Resources and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196699116","https://openalex.org/I37461747"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46341463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9811999797821045,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9811999797821045,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6978999972343445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43560001254081726},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42329999804496765},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4207000136375427},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.30000001192092896},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.29910001158714294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713000178337097},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6978999972343445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3865000009536743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3750999867916107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34130001068115234},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.311599999666214},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.30000001192092896},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.29319998621940613},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C65557600","wikidata":"https://www.wikidata.org/wiki/Q7249451","display_name":"Projection method","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-95-5640-3_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5640-3_10","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.572793185710907,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1968361347","https://openalex.org/W1969396493","https://openalex.org/W1997537847","https://openalex.org/W2025053102","https://openalex.org/W2035838643","https://openalex.org/W2156768951","https://openalex.org/W2300379055","https://openalex.org/W2401848702","https://openalex.org/W2510046892","https://openalex.org/W2524168323","https://openalex.org/W2556902486","https://openalex.org/W2585869517","https://openalex.org/W2734986640","https://openalex.org/W2741051040","https://openalex.org/W2744043447","https://openalex.org/W2781562785","https://openalex.org/W2944851425","https://openalex.org/W2963608065","https://openalex.org/W3009639844","https://openalex.org/W3009650506","https://openalex.org/W3021047581","https://openalex.org/W3037742583","https://openalex.org/W3120383583","https://openalex.org/W3122161814","https://openalex.org/W3155398915","https://openalex.org/W3172807453","https://openalex.org/W4214545445","https://openalex.org/W4280505502","https://openalex.org/W4283763322","https://openalex.org/W4285402398","https://openalex.org/W4389817604","https://openalex.org/W4390550760","https://openalex.org/W4393160226","https://openalex.org/W4399174030"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2025-12-10T00:00:00"}