{"id":"https://openalex.org/W4412875506","doi":"https://doi.org/10.1145/3711896.3736837","title":"AGODE: Adaptive Graph ODE for Grid-free Fluid Modeling and Domain Adaptation","display_name":"AGODE: Adaptive Graph ODE for Grid-free Fluid Modeling and Domain Adaptation","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412875506","doi":"https://doi.org/10.1145/3711896.3736837"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736837","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","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/10.1145/3711896.3736837","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007673681","display_name":"Jie Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Lv","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China and Research Center, Zhejiang Dahua Technology Co.,Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-2942-5039","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, China and Research Center, Zhejiang Dahua Technology Co.,Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4796-5737","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053487344","display_name":"Zhixi Feng","orcid":"https://orcid.org/0000-0002-7372-9180"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixi Feng","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7372-9180","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007673681"],"corresponding_institution_ids":["https://openalex.org/I4210151935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09102749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2021","last_page":"2030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9757999777793884,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9757999777793884,"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9732999801635742,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.815214991569519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986438035964966},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6072288155555725},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5903640985488892},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5802322030067444},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4832375943660736},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44839680194854736},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35226207971572876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2378721535205841},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.20751726627349854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16807502508163452},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07606220245361328},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06890717148780823},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0642804503440857}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.815214991569519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986438035964966},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6072288155555725},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5903640985488892},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5802322030067444},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4832375943660736},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44839680194854736},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35226207971572876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2378721535205841},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.20751726627349854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16807502508163452},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07606220245361328},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06890717148780823},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0642804503440857},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736837","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736837","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736837","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736837","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412875506.pdf","grobid_xml":"https://content.openalex.org/works/W4412875506.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2163348288","https://openalex.org/W2194775991","https://openalex.org/W2899283552","https://openalex.org/W2963121266","https://openalex.org/W3014473050","https://openalex.org/W3025949386","https://openalex.org/W3138516171","https://openalex.org/W3167398750","https://openalex.org/W3170848208","https://openalex.org/W3196794849","https://openalex.org/W3197732874","https://openalex.org/W3210671945","https://openalex.org/W4221126622","https://openalex.org/W4286988446","https://openalex.org/W4313560902","https://openalex.org/W4321354006","https://openalex.org/W4366779169","https://openalex.org/W4384561839","https://openalex.org/W4393153638","https://openalex.org/W4401857636"],"related_works":["https://openalex.org/W2371448224","https://openalex.org/W3134495997","https://openalex.org/W2363680170","https://openalex.org/W2376428685","https://openalex.org/W4256082577","https://openalex.org/W625783435","https://openalex.org/W2048742619","https://openalex.org/W2384641672","https://openalex.org/W2742179975","https://openalex.org/W4394775207"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"grid-free":[3],"point":[4,88],"process":[5],"modeling":[6],"under":[7],"varying":[8],"fluid":[9],"parameters.":[10],"Existing":[11],"methods":[12],"rely":[13],"on":[14],"grid-based":[15],"approaches":[16],"or":[17],"fixed":[18],"parameters,":[19],"making":[20],"it":[21],"challenging":[22],"to":[23,85,129],"handle":[24],"complex":[25],"nonlinear":[26],"dynamics":[27,93],"and":[28,68],"out-of-distribution":[29],"(OOD)":[30],"scenarios.":[31],"To":[32],"address":[33],"this,":[34],"we":[35],"propose":[36],"Adaptive":[37],"Perturbation":[38],"Graph":[39],"ODE":[40,63,119],"(AGODE),":[41],"a":[42,59,70],"novel":[43],"framework":[44],"that":[45],"integrates":[46],"three":[47],"key":[48],"innovations:":[49],"(1)":[50],"an":[51],"adaptive":[52],"conditioning":[53,105],"mechanism":[54],"for":[55,64,77],"physical":[56,99,127],"parameter":[57],"adaptation(2)":[58],"continuous":[60],"graph":[61,82],"neural":[62,83,96],"spatiotemporal":[65],"evolution":[66],"modeling,":[67],"(3)":[69],"perturbation":[71,108],"module":[72,109],"with":[73,126],"mutual":[74],"information":[75],"maximization":[76],"uncertainty":[78],"quantification.":[79],"AGODE":[80],"employs":[81],"networks":[84],"encode":[86],"unstructured":[87],"cloud":[89],"data":[90],"into":[91],"latent":[92],"governed":[94],"by":[95,114],"ODEs,":[97],"where":[98],"parameters":[100],"are":[101],"injected":[102],"through":[103],"context-aware":[104],"vectors.":[106],"The":[107],"generates":[110],"diverse":[111],"trajectory":[112],"samples":[113],"introducing":[115],"stochastic":[116],"noise":[117],"during":[118],"integration,":[120],"while":[121],"contrastive":[122],"learning":[123],"aligns":[124],"predictions":[125],"contexts":[128],"filter":[130],"implausible":[131],"outcomes.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
