{"id":"https://openalex.org/W7160273671","doi":"https://doi.org/10.1016/j.knosys.2026.116133","title":"ADIG-Net: Spatiotemporally decoupled dynamic graph learning for efficient traffic forecasting","display_name":"ADIG-Net: Spatiotemporally decoupled dynamic graph learning for efficient traffic forecasting","publication_year":2026,"publication_date":"2026-05-02","ids":{"openalex":"https://openalex.org/W7160273671","doi":"https://doi.org/10.1016/j.knosys.2026.116133"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2026.116133","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.116133","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-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/A5135414883","display_name":"Yongcai Tong","orcid":"https://orcid.org/0009-0003-8547-4175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongcai Tong","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0003-8547-4175","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135407934","display_name":"Siyu Chen","orcid":"https://orcid.org/0009-0006-8921-7717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siyu Chen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0006-8921-7717","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135413426","display_name":"Yang Yang","orcid":"https://orcid.org/0009-0001-6579-2577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135322251","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0003-4493-7762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4493-7762","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078806360","display_name":"Jilong Tang","orcid":"https://orcid.org/0000-0002-2926-8065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jilong Tang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114235101","display_name":"Cecheng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cecheng Xu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0008-3080-9288","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114127761","display_name":"Tianyun Luan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianyun Luan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64315313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"345","issue":null,"first_page":"116133","last_page":"116133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8209999799728394,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8209999799728394,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.08309999853372574,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.005900000222027302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45750001072883606},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31150001287460327},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.27639999985694885},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.2741999924182892},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.272599995136261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043999791145325},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3301999866962433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.260699987411499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2026.116133","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2026.116133","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W2157331557","https://openalex.org/W2528639018","https://openalex.org/W2903871660","https://openalex.org/W2950817888","https://openalex.org/W2997848713","https://openalex.org/W2998496395","https://openalex.org/W3080253043","https://openalex.org/W3088611441","https://openalex.org/W4382239616","https://openalex.org/W4382449675","https://openalex.org/W4401864135","https://openalex.org/W4404814779","https://openalex.org/W4415979914"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}