{"id":"https://openalex.org/W3170848208","doi":"https://doi.org/10.1145/3447548.3467385","title":"Coupled Graph ODE for Learning Interacting System Dynamics","display_name":"Coupled Graph ODE for Learning Interacting System Dynamics","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3170848208","doi":"https://doi.org/10.1145/3447548.3467385","mag":"3170848208"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & 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/10.1145/3447548.3467385","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026186829","display_name":"Zijie Huang","orcid":"https://orcid.org/0000-0002-8911-9889"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zijie Huang","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213473","display_name":"Yizhou Sun","orcid":"https://orcid.org/0000-0003-1812-6843"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Sun","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026186829"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":7.1581,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.97455909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"705","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9864000082015991,"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":0.9830999970436096,"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":0.8327293992042542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6972297430038452},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.608540415763855},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.5973569750785828},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5713268518447876},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4876822233200073},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4209112823009491},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4182097911834717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3179664611816406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30113160610198975},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.25909143686294556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21138408780097961},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.12304842472076416}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.8327293992042542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972297430038452},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.608540415763855},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.5973569750785828},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5713268518447876},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4876822233200073},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4209112823009491},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4182097911834717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3179664611816406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30113160610198975},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.25909143686294556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21138408780097961},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.12304842472076416},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3447548.3467385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3447548.3467385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3447548.3467385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1955634364","display_name":null,"funder_award_id":"R01 EB027650","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2423197485","display_name":null,"funder_award_id":"EB02765","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2922199066","display_name":null,"funder_award_id":"R31-HL 135772","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3100507613","display_name":null,"funder_award_id":"1937599","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3354284890","display_name":null,"funder_award_id":"NIBIB","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4291750258","display_name":null,"funder_award_id":"1741634","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4396638795","display_name":null,"funder_award_id":"III-1705169","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7189626769","display_name":null,"funder_award_id":"1829071","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7517944603","display_name":null,"funder_award_id":"R35-HL135772","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7851417135","display_name":"III: Medium: Collaborative Research: StructNet: Constructing and Mining Structure-Rich Information Networks for Scientific Research","funder_award_id":"1705169","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7868173616","display_name":null,"funder_award_id":"HR00112090027","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G8442901025","display_name":null,"funder_award_id":"DGE-1829071","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8823166825","display_name":null,"funder_award_id":"DARPA HR00112090027","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3170848208.pdf","grobid_xml":"https://content.openalex.org/works/W3170848208.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2144144709","https://openalex.org/W2161728228","https://openalex.org/W2519887557","https://openalex.org/W2534928453","https://openalex.org/W2559857813","https://openalex.org/W2623187518","https://openalex.org/W2743027438","https://openalex.org/W2884014654","https://openalex.org/W2899663614","https://openalex.org/W2906943923","https://openalex.org/W2962711740","https://openalex.org/W2963403868","https://openalex.org/W2963858333","https://openalex.org/W2964010366","https://openalex.org/W2967246123","https://openalex.org/W2970485172","https://openalex.org/W2971278153","https://openalex.org/W2982445066","https://openalex.org/W2986385482","https://openalex.org/W2998116985","https://openalex.org/W3008443627","https://openalex.org/W3012727582","https://openalex.org/W3012871709","https://openalex.org/W3016866234","https://openalex.org/W3026313085","https://openalex.org/W3035203190","https://openalex.org/W3036548566","https://openalex.org/W3036615367","https://openalex.org/W3098168339","https://openalex.org/W3099011804"],"related_works":["https://openalex.org/W3082668976","https://openalex.org/W2517973022","https://openalex.org/W1543121148","https://openalex.org/W1580703421","https://openalex.org/W2618518959","https://openalex.org/W2231364979","https://openalex.org/W4295745414","https://openalex.org/W4382202915","https://openalex.org/W2489516236","https://openalex.org/W4297273858"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"systems":[2,89],"such":[3],"as":[4,41,69,246],"social":[5,264],"networks":[6],"and":[7,26,82,150,191,219,261],"moving":[8],"planets":[9],"are":[10,20],"dynamic":[11,109,163],"in":[12,130,157,201],"nature,":[13],"where":[14,45,144],"a":[15,42,76,91,103,175,194,202,229,234],"set":[16],"of":[17,56,120,165,189,208,217,250,270],"coupled":[18,172,187,210],"objects":[19,46,121,129],"connected":[21],"via":[22],"the":[23,31,35,84,127,131,135,138,162,186,215,238,247,251,258,262,268],"interaction":[24,132],"graph":[25,139,173,195],"exhibit":[27],"complex":[28,85],"behavior":[29],"along":[30],"time.":[32,60],"For":[33],"example,":[34],"COVID-19":[36,259],"pandemic":[37],"can":[38,141],"be":[39,113,159],"considered":[40],"dynamical":[43],"system,":[44],"represent":[47],"geographical":[48],"locations":[49],"(e.g.,":[50],"states)":[51],"whose":[52],"daily":[53],"confirmed":[54],"cases":[55],"infection":[57],"evolve":[58],"over":[59,123],"Outbreak":[61],"at":[62],"one":[63,117],"location":[64,68],"may":[65,148,153,156],"influence":[66],"another":[67],"people":[70],"travel":[71],"between":[72],"these":[73,88],"locations,":[74],"forming":[75],"graph.":[77,133],"Thus,":[78],"how":[79],"to":[80,107,112],"model":[81,183,206],"predict":[83],"dynamics":[86,188,216],"for":[87,213,236],"becomes":[90],"critical":[92],"research":[93],"problem.":[94],"Existing":[95],"work":[96],"on":[97,222,257],"modeling":[98,214],"graph-structured":[99],"data":[100],"mostly":[101],"assumes":[102],"static":[104],"setting.":[105],"How":[106],"handle":[108],"graphs":[110],"remains":[111],"further":[114],"explored.":[115],"On":[116,134],"hand,":[118,137],"features":[119,164],"change":[122],"time,":[124],"influenced":[125],"by":[126,161,233],"linked":[128],"other":[136],"itself":[140],"also":[142],"evolve,":[143],"new":[145],"interactions":[146],"(links)":[147],"form":[149],"existing":[151],"links":[152],"drop,":[154],"which":[155,244],"turn":[158],"affected":[160],"objects.":[166],"In":[167],"this":[168],"paper,":[169],"we":[170],"propose":[171],"ODE:":[174],"novel":[176,230],"latent":[177,224,253],"ordinary":[178],"differential":[179],"equation":[180],"(ODE)":[181],"generative":[182],"that":[184],"learns":[185],"nodes":[190,220],"edges":[192,218],"with":[193],"neural":[196],"network":[197,265],"(GNN)":[198],"based":[199,221],"ODE":[200,211],"continuous":[203],"manner.":[204],"Our":[205],"consists":[207],"two":[209],"functions":[212],"their":[223],"representations":[225],"respectively.":[226],"It":[227],"employs":[228],"encoder":[231],"parameterized":[232],"GNN":[235],"inferring":[237],"initial":[239],"states":[240],"from":[241],"historical":[242],"data,":[243],"serves":[245],"starting":[248],"point":[249],"predicted":[252],"trajectories.":[254],"Experiment":[255],"results":[256],"dataset":[260,266],"simulated":[263],"demonstrate":[267],"effectiveness":[269],"our":[271],"proposed":[272],"method.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}