{"id":"https://openalex.org/W4404611654","doi":"https://doi.org/10.1145/3678717.3695761","title":"HydroNet: A Spatio-temporal Graph Neural Network for Modeling Hydraulic Dependencies in Urban Wastewater Systems","display_name":"HydroNet: A Spatio-temporal Graph Neural Network for Modeling Hydraulic Dependencies in Urban Wastewater Systems","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404611654","doi":"https://doi.org/10.1145/3678717.3695761"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3695761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3695761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","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/A5108575606","display_name":"Qiming Guo","orcid":"https://orcid.org/0009-0002-5545-8361"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiming Guo","raw_affiliation_strings":["Texas A&M University-Corpus Christi"],"raw_orcid":"https://orcid.org/0009-0002-5545-8361","affiliations":[{"raw_affiliation_string":"Texas A&M University-Corpus Christi","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101402672","display_name":"Wenlu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenlu Wang","raw_affiliation_strings":["Texas A&M University-Corpus Christi"],"raw_orcid":"https://orcid.org/0000-0002-4829-1068","affiliations":[{"raw_affiliation_string":"Texas A&M University-Corpus Christi","institution_ids":["https://openalex.org/I96749437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108575606"],"corresponding_institution_ids":["https://openalex.org/I96749437"],"apc_list":null,"apc_paid":null,"fwci":0.4991,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.644809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"717","last_page":"718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9355999827384949,"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/computer-science","display_name":"Computer science","score":0.6681716442108154},{"id":"https://openalex.org/keywords/wastewater","display_name":"Wastewater","score":0.648719310760498},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5354272127151489},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4931051433086395},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3580007553100586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35660243034362793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3424622416496277},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26086121797561646},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.2020862102508545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681716442108154},{"id":"https://openalex.org/C94061648","wikidata":"https://www.wikidata.org/wiki/Q336191","display_name":"Wastewater","level":2,"score":0.648719310760498},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5354272127151489},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4931051433086395},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3580007553100586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35660243034362793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3424622416496277},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26086121797561646},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.2020862102508545}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678717.3695761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3695761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G7813764382","display_name":null,"funder_award_id":"2318641","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4382240004"],"related_works":["https://openalex.org/W2358752834","https://openalex.org/W2385882612","https://openalex.org/W2348940987","https://openalex.org/W2369202248","https://openalex.org/W1980686195","https://openalex.org/W2388561655","https://openalex.org/W2364942512","https://openalex.org/W2046973424","https://openalex.org/W1510571922","https://openalex.org/W2376313318"],"abstract_inverted_index":{"Wastewater":[0],"infrastructures":[1],"are":[2],"vital":[3],"in":[4,68],"urban":[5,86,109],"cities,":[6],"but":[7],"aging":[8],"sanitary":[9],"sewer":[10,37],"systems":[11],"face":[12,62],"issues":[13],"like":[14],"cracked":[15],"pipes":[16],"and":[17,23,51,76,115],"damaged":[18],"manholes,":[19],"leading":[20,105],"to":[21,29,85,94,106],"infiltration":[22],"inflow":[24],"problems.":[25],"Climate":[26],"change":[27],"contributes":[28],"more":[30],"frequent":[31],"heavy":[32],"precipitation,":[33],"potentially":[34],"causing":[35],"significant":[36],"overflows.":[38],"These":[39],"overflows":[40],"can":[41,100],"endanger":[42],"public":[43],"health":[44],"by":[45],"carrying":[46],"disease-causing":[47],"microorganisms,":[48],"pathogens,":[49],"chemicals,":[50],"pollutants.":[52],"To":[53],"improve":[54],"the":[55,69],"maintenance":[56],"of":[57,64],"wastewater":[58,87,110],"systems,":[59],"which":[60,99],"often":[61],"challenges":[63],"sparse":[65],"sensor":[66],"coverage":[67],"field,":[70],"we":[71],"develop":[72],"a":[73,77],"graph":[74],"dataset":[75],"spatio-temporal":[78],"hydraulic":[79],"model":[80],"-":[81,83],"HydroNet":[82,91],"tailored":[84],"systems.":[88],"The":[89],"trained":[90],"is":[92],"able":[93],"predict":[95],"temporal":[96],"water":[97],"depth,":[98],"help":[101],"identify":[102],"potential":[103],"infiltration,":[104],"an":[107],"automated":[108],"system":[111],"with":[112],"minimal":[113],"time":[114],"labor":[116],"costs.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}