{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:15:24Z","timestamp":1788221724350,"version":"build-2803163510"},"reference-count":47,"publisher":"American Chemical Society (ACS)","issue":"33","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/100016691","name":"Guangdong Provincial Pearl River Talents Program","doi-asserted-by":"publisher","award":["2023QN10L120"],"award-info":[{"award-number":["2023QN10L120"]}],"id":[{"id":"10.13039\/100016691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017380","name":"Science and Technology Foundation of Shenzhen City","doi-asserted-by":"publisher","award":["JCYJ20240813112101003"],"award-info":[{"award-number":["JCYJ20240813112101003"]}],"id":[{"id":"10.13039\/100017380","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017380","name":"Science and Technology Foundation of Shenzhen City","doi-asserted-by":"publisher","award":["ZDCYKCX20250901092702003"],"award-info":[{"award-number":["ZDCYKCX20250901092702003"]}],"id":[{"id":"10.13039\/100017380","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2025A1515010829"],"award-info":[{"award-number":["2025A1515010829"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/na","name":"Guangdong Higher Education Institutions Innovative Research Team of Urban Water Cycle and Ecological Safety","doi-asserted-by":"publisher","award":["2023KCXTD053"],"award-info":[{"award-number":["2023KCXTD053"]}],"id":[{"id":"10.13039\/na","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Characterizing the complex environmental and socioeconomic associations underlying risks related to polycyclic aromatic hydrocarbons (PAHs) in urban greenspace soils is important for ecosystem health, yet conventional tabular models do not explicitly represent these cross-domain dependencies. In this study, we present an interpretable heterogeneous graph attention network (Hetero-GAT) framework for PAH-related risk assessment in urban greenspace soils across China. By integrating SHapley additive explanations (SHAP) with attention-derived graph salience, our dual-perspective framework reveals clear heterogeneity in model-derived PAH risk attribution patterns. Geographical and meteorological variables form recurrent background attribution signals across the five risk end points, whereas energy, infrastructure, and traffic\/logistics variables contribute more selectively to end point-specific patterns. Under grouped validation and unified benchmarking, Hetero-GAT achieved the highest mean overall predictive performance, although its numerical advantage over GCN was modest, indicating that its principal value lies in structured representation and attribution rather than predictive superiority alone. Furthermore, a city-level typology analysis, based on the aggregation of sample-level observations before clustering, identifies three urban structural profiles with distinct risk stratifications and attribution patterns. Mixed-profile and logistics\/service-dominated cities exhibit higher risk distributions than infrastructure-provision-dominated cities, with the logistics\/service-dominated group showing the highest median values across all five end points. These findings indicate that interpretable graph modeling can complement concentration-based monitoring with risk-oriented contextual information and support differentiated risk screening across urban structural profiles.<\/jats:p>","DOI":"10.1021\/acs.est.6c06741","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T15:02:15Z","timestamp":1786460535000},"page":"23415-23428","source":"Crossref","is-referenced-by-count":0,"title":["Interpretable Graph\nDeep Learning Reveals Ecological\nRisks and Attribution Patterns of Polycyclic Aromatic Hydrocarbons\nin Urban Greenspace Soils across China"],"prefix":"10.1021","volume":"60","author":[{"given":"Yueming","family":"Han","sequence":"first","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuolun","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanqing","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenle","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0672-9404","authenticated-orcid":true,"given":"Wusen","family":"Wang","sequence":"additional","affiliation":[{"name":"Yellow River Institute of Hydraulic Research , , ,","place":["Zhengzhou, PR China, 450003"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruohan","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9800-3212","authenticated-orcid":true,"given":"Lixun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , ,","place":["Shenzhen, PR China, 518055"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,8,11]]},"reference":[{"issue":"1","key":"2026083119454315500_cit1","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1038\/s41467-019-13757-3","article-title":"Physical and Virtual Carbon Metabolism of Global Cities","volume":"11","author":"Chen","year":"2020","journal-title":"Nat. Commun."},{"issue":"1","key":"2026083119454315500_cit2","doi-asserted-by":"publisher","first-page":"6460","DOI":"10.1038\/s41467-023-41620-z","article-title":"Improved Human\nGreenspace Exposure Equality during 21st Century Urbanization","volume":"14","author":"Wu","year":"2023","journal-title":"Nat. Commun."},{"key":"2026083119454315500_cit3","doi-asserted-by":"publisher","first-page":"118837","DOI":"10.1016\/j.envres.2024.118837","article-title":"A Comprehensive Review\nof the Environmental Benefits of Urban Green\nSpaces","volume":"252","author":"Zhang","year":"2024","journal-title":"Environ. Res."},{"issue":"13","key":"2026083119454315500_cit4","doi-asserted-by":"publisher","first-page":"5304","DOI":"10.1039\/D2GC00986B","article-title":"Systematic\nQSAR and IQCCR Modelling of Fused\/Non-Fused Aromatic Hydrocarbons\n(FNFAHs) Carcinogenicity to Rodents: Reducing Unnecessary Chemical\nSynthesis and Animal Testing","volume":"24","author":"Li","year":"2022","journal-title":"Green Chem."},{"key":"2026083119454315500_cit5","doi-asserted-by":"publisher","first-page":"162736","DOI":"10.1016\/j.scitotenv.2023.162736","article-title":"Ecotoxicological\nQSAR Study of Fused\/Non-Fused\nPolycyclic Aromatic Hydrocarbons (FNFPAHs): Assessment and Priority\nRanking of the Acute Toxicity to Pimephales Promelas by QSAR and Consensus\nModeling Methods","volume":"876","author":"Chen","year":"2023","journal-title":"Sci. Total Environ."},{"key":"2026083119454315500_cit6","doi-asserted-by":"publisher","first-page":"133410","DOI":"10.1016\/j.jhazmat.2023.133410","article-title":"Prioritization\nof the Ecotoxicological\nHazard of PAHs towards Aquatic Species Spanning Three Trophic Levels\nUsing 2D-QSTR, Read-across and Machine Learning-Driven Modelling Approaches","volume":"465","author":"Li","year":"2024","journal-title":"J. Hazard. Mater."},{"issue":"23","key":"2026083119454315500_cit7","doi-asserted-by":"publisher","first-page":"11677","DOI":"10.1021\/acs.est.5c01423","article-title":"Highly Resolved\nGlobal Emissions and Potential Toxicities of 30 Parent PAHs from 1960\nto 2021","volume":"59","author":"Dai","year":"2025","journal-title":"Environ. Sci. Technol."},{"key":"2026083119454315500_cit8","doi-asserted-by":"publisher","first-page":"132476","DOI":"10.1016\/j.jhazmat.2023.132476","article-title":"Ecological\nand Health Risk Assessments of Polycyclic Aromatic Hydrocarbons\n(PAHs) in Soils around a Petroleum Refining Plant in China: A Quantitative\nMethod Based on the Improved Hybrid Model","volume":"461","author":"Wang","year":"2024","journal-title":"J.\nHazard. Mater."},{"issue":"8","key":"2026083119454315500_cit9","doi-asserted-by":"publisher","first-page":"2851","DOI":"10.1007\/s10653-020-00798-7","article-title":"Spatial Distribution, Sources and\nQuantitative Human Health Risk Assessments of Polycyclic Aromatic\nHydrocarbons in Urban and Suburban Soils of Chile","volume":"43","author":"Apiratikul","year":"2021","journal-title":"Environ. Geochem. Health"},{"key":"2026083119454315500_cit10","doi-asserted-by":"publisher","first-page":"125730","DOI":"10.1016\/j.jhazmat.2021.125730","article-title":"Developing an Integrated Framework\nfor Source Apportionment and Source-Specific\nHealth Risk Assessment of PAHs in Soils: Application to a Typical\nCold Region in China","volume":"415","author":"Zhang","year":"2021","journal-title":"J. Hazard. Mater."},{"key":"2026083119454315500_cit11","doi-asserted-by":"publisher","first-page":"140263","DOI":"10.1016\/j.jhazmat.2025.140263","article-title":"Polycyclic Aromatic Hydrocarbons\n(PAHs) in Soils from a Shale Gas Exploitation Area in China: Quantitative\nSources and Risk Analysis Using an Improved Hybrid Model","volume":"499","author":"Xiong","year":"2025","journal-title":"J. Hazard. Mater."},{"key":"2026083119454315500_cit12","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.envint.2018.12.031","article-title":"The Occurrence of OCPs,\nPCBs, and PAHs in the Soil,\nAir, and Bulk Deposition of the Naples Metropolitan Area, Southern\nItaly: Implications for Sources and Environmental Processes","volume":"124","author":"Qu","year":"2019","journal-title":"Environ. Int."},{"key":"2026083119454315500_cit13","doi-asserted-by":"publisher","first-page":"141876","DOI":"10.1016\/j.jclepro.2024.141876","article-title":"Polycyclic\nAromatic Hydrocarbons (PAHs) Pollution and Risk Assessment\nof Soils at Contaminated Sites in China over the Past Two Decades","volume":"450","author":"You","year":"2024","journal-title":"J. Clean. Prod."},{"key":"2026083119454315500_cit14","doi-asserted-by":"publisher","first-page":"132351","DOI":"10.1016\/j.jhazmat.2023.132351","article-title":"Spatiotemporal Variability\nof PAHs and Their Derivatives in Sediments of the Laizhou Bay in the\nEastern China: Occurrence, Source, and Ecological Risk Assessment","volume":"460","author":"Lu","year":"2023","journal-title":"J. Hazard. Mater."},{"issue":"9","key":"2026083119454315500_cit15","doi-asserted-by":"publisher","first-page":"3065","DOI":"10.1016\/j.watres.2012.03.006","article-title":"Potential Source\nContributions and Risk Assessment\nof PAHs in Sediments from Taihu Lake, China: Comparison of Three Receptor\nModels","volume":"46","author":"Zhang","year":"2012","journal-title":"Water Res."},{"key":"2026083119454315500_cit16","doi-asserted-by":"publisher","first-page":"114547","DOI":"10.1016\/j.envpol.2020.114547","article-title":"A New Spatially\nExplicit Model of Population Risk Level Grid Identification for Children\nand Adults to Urban Soil PAHs","volume":"263","author":"Li","year":"2020","journal-title":"Environ. Pollut."},{"key":"2026083119454315500_cit17","doi-asserted-by":"publisher","first-page":"122824","DOI":"10.1016\/j.watres.2024.122824","article-title":"Prioritization\nof\nMonitoring Compounds from SNTS Identified Organic Micropollutants\nin Contaminated Groundwater Using a Machine Learning Optimized ToxPi\nModel","volume":"270","author":"Ekpe","year":"2025","journal-title":"Water Res."},{"key":"2026083119454315500_cit18","doi-asserted-by":"publisher","first-page":"133840","DOI":"10.1016\/j.jhazmat.2024.133840","article-title":"Drivers Distinguishing of PAHs Heterogeneity\nin Surface Soil of China Using Deep Learning Coupled with Geo-Statistical\nApproach","volume":"468","author":"Wang","year":"2024","journal-title":"J. Hazard. Mater."},{"issue":"31","key":"2026083119454315500_cit19","doi-asserted-by":"publisher","first-page":"16685","DOI":"10.1021\/acs.est.5c06872","article-title":"Heuristic Topological Graph Convolutional\nNetwork for Risk Prediction of Potentially Toxic Elements in Cultivated\nSoils","volume":"59","author":"Hao","year":"2025","journal-title":"Environ. Sci. Technol."},{"issue":"6","key":"2026083119454315500_cit20","doi-asserted-by":"publisher","DOI":"10.1029\/2023wr035278","article-title":"Contaminant\nTransport Modeling and Source Attribution\nWith Attention-Based Graph Neural Network","volume":"60","author":"Pang","year":"2024","journal-title":"Water\nResour. Res."},{"issue":"9","key":"2026083119454315500_cit21","doi-asserted-by":"publisher","first-page":"4518","DOI":"10.1021\/acs.est.4c12247","article-title":"Predicting Toxicity toward Nitrifiers\nby Attention-Enhanced Graph Neural Networks and Transfer Learning\nfrom Baseline Toxicity","volume":"59","author":"Zhang","year":"2025","journal-title":"Environ. Sci. Technol."},{"issue":"1","key":"2026083119454315500_cit22","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1109\/TKDE.2021.3072345","article-title":"Sparse Graph Attention\nNetworks","volume":"35","author":"Ye","year":"2023","journal-title":"IEEE Trans.\nKnowl. Data Eng."},{"key":"2026083119454315500_cit23","doi-asserted-by":"publisher","first-page":"120559","DOI":"10.1016\/j.envres.2024.120559","article-title":"Distribution\nCharacteristics,\nSource Analysis and Ecological Risk Assessment of PAHs in Tea Garden\nSoil in China","volume":"266","author":"Li","year":"2025","journal-title":"Environ. Res."},{"issue":"3","key":"2026083119454315500_cit24","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/0273-2300(92)90009-X","article-title":"Toxic Equivalency Factors (TEFs) for Polycyclic Aromatic\nHydrocarbons (PAHs)","volume":"16","author":"Nisbet","year":"1992","journal-title":"Regul. Toxicol. Pharmacol."},{"issue":"5","key":"2026083119454315500_cit25","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.trac.2010.02.009","article-title":"Application\nof Chemometrics to Analysis\nof Soil Pollutants","volume":"29","author":"Mostert","year":"2010","journal-title":"TrAC Trends Anal. Chem."},{"key":"2026083119454315500_cit26","doi-asserted-by":"publisher","first-page":"135504","DOI":"10.1016\/j.jhazmat.2024.135504","article-title":"Co-Occurrence\nof Polycyclic Aromatic Hydrocarbons and Heavy Metals in Various Environmental\nMatrices of a Chronic Petroleum Polluted Region in Iran; Pollution\nCharacterization, and Assessment of Ecological and Human Health Risks","volume":"478","author":"Hemati","year":"2024","journal-title":"J. Hazard. Mater."},{"key":"2026083119454315500_cit27","doi-asserted-by":"publisher","DOI":"10.1016\/j.teac.2022.e00169","article-title":"Use of Pollution\nIndices and Ecological\nRisk in the Assessment of Contamination from Chemical Elements in\nSoils and Sediments \u2013 Practical Aspects","volume":"35","author":"Ferreira","year":"2022","journal-title":"Trends Environ. Anal. Chem."},{"key":"2026083119454315500_cit28","volume-title":"Technical Guidelines for Risk Assessment of Soil Contamination of\nLand for Construction (HJ. 25.3\u25002019)","author":"Ministry of Ecology and Environment of the People\u2019s Republic of China.","year":"2019"},{"key":"2026083119454315500_cit29","volume-title":"Guidelines for Exposure Assessment;\nEPA\/600\/Z-92\/001; Risk Assessment Forum","author":"U.S. Environmental Protection Agency.","year":"1992"},{"key":"2026083119454315500_cit30","volume-title":"Risk Assessment Guidance for\nSuperfund, Vol. III, Part A: Process for Conducting Probabilistic\nRisk Assessment; EPA 540-R-02\u2013002; Office of Emergency and\nRemedial Response","author":"U.S. Environmental Protection Agency.","year":"2001"},{"issue":"4","key":"2026083119454315500_cit31","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1038\/s43588-023-00429-y","article-title":"Large-Scale Correlation\nNetwork Construction for Unraveling the Coordination of Complex Biological\nSystems","volume":"3","author":"Becker","year":"2023","journal-title":"Nat. Comput. Sci."},{"issue":"4","key":"2026083119454315500_cit32","doi-asserted-by":"publisher","first-page":"1992","DOI":"10.1109\/TPAMI.2020.3026079","article-title":"Heterogeneous Graph\nAttention Network for Unsupervised Multiple-Target Domain Adaptation","volume":"44","author":"Yang","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2026083119454315500_cit33","doi-asserted-by":"publisher","first-page":"103792","DOI":"10.1016\/j.inffus.2025.103792","article-title":"Diffusion Masked Autoencoders\nas Casual-Aware Curriculum\nLearner for Graph out-of-Distribution Generalization","volume":"127","author":"Liang","year":"2026","journal-title":"Inf. Fusion"},{"issue":"9","key":"2026083119454315500_cit34","doi-asserted-by":"publisher","first-page":"6486","DOI":"10.1109\/TPAMI.2024.3382294","article-title":"Towards Understanding Convergence\nand Generalization of AdamW","volume":"46","author":"Zhou","year":"2024","journal-title":"IEEE Trans. Pattern\nAnal. Mach. Intell."},{"key":"2026083119454315500_cit35","doi-asserted-by":"publisher","first-page":"160065","DOI":"10.1016\/j.scitotenv.2022.160065","article-title":"A Hybrid Framework\nfor Delineating the Migration Route of Soil Heavy\nMetal Pollution by Heavy Metal Similarity Calculation and Machine\nLearning Method","volume":"858","author":"Wang","year":"2023","journal-title":"Sci. Total Environ."},{"issue":"2","key":"2026083119454315500_cit36","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1021\/acsestair.4c00136","article-title":"Cost-Effective Mapping of Hyperlocal\nAir Pollution Using Large-Scale Mobile Monitoring and Land-Use Machine\nLearning","volume":"2","author":"Zheng","year":"2025","journal-title":"ACS ES&T Air"},{"issue":"6","key":"2026083119454315500_cit37","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1038\/s42256-023-00657-x","article-title":"Algorithms to Estimate\nShapley Value Feature Attributions","volume":"5","author":"Chen","year":"2023","journal-title":"Nat. Mach.\nIntell."},{"issue":"2","key":"2026083119454315500_cit38","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","article-title":"Least Squares\nQuantization in PCM","volume":"28","author":"Lloyd","year":"1982","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2026083119454315500_cit39","doi-asserted-by":"publisher","first-page":"136500","DOI":"10.1016\/j.jhazmat.2024.136500","article-title":"A Spatial\nSource-Oriented and Probability-Based\nRisk-Assessment Framework for Heavy Metal and PAH Contamination of\nUrban Soils in Guangzhou, China","volume":"482","author":"Chen","year":"2025","journal-title":"J. Hazard.\nMater."},{"key":"2026083119454315500_cit40","doi-asserted-by":"publisher","first-page":"131606","DOI":"10.1016\/j.jhazmat.2023.131606","article-title":"Treatment of PAHs Contaminated Soil\nin Abandoned Industrial Site Using Combined Method of Improved in\nSitu Capping and Electrokinetic Enhanced-Bioremediation","volume":"455","author":"Li","year":"2023","journal-title":"J. Hazard. Mater."},{"key":"2026083119454315500_cit41","doi-asserted-by":"publisher","first-page":"118134","DOI":"10.1016\/j.envres.2024.118134","article-title":"Spatiotemporal\nVariations in Soil\nPollution by Polycyclic Aromatic Hydrocarbons over a 20-Year Economic\nBoom in Different Districts of a Heavy Industrial City in North China","volume":"247","author":"Fan","year":"2024","journal-title":"Environ. Res."},{"key":"2026083119454315500_cit42","doi-asserted-by":"publisher","first-page":"117121","DOI":"10.1016\/j.envpol.2021.117121","article-title":"Spatial Distributions\nand Sources of PAHs in Soil in\nChemical Industry Parks in the Yangtze River Delta, China","volume":"283","author":"Jia","year":"2021","journal-title":"Environ. Pollut."},{"issue":"6","key":"2026083119454315500_cit43","doi-asserted-by":"publisher","first-page":"3397","DOI":"10.1021\/acs.est.1c05323","article-title":"Current and Future\nTrends of Low and High Molecular Weight Polycyclic Aromatic Hydrocarbons\nin Surface Water and Sediments of China: Insights from Their Long-Term\nRelationships between Concentrations and Emissions","volume":"56","author":"Wang","year":"2022","journal-title":"Environ. Sci. Technol."},{"key":"2026083119454315500_cit44","doi-asserted-by":"publisher","first-page":"122034","DOI":"10.1016\/j.envpol.2023.122034","article-title":"Identification\nof Possible Sources for Potentially Toxic Elements and Polycyclic\nAromatic Hydrocarbons and Their Spatially Varying Relationships in\nUrban Soils of Dublin, Ireland","volume":"333","author":"Xu","year":"2023","journal-title":"Environ. Pollut."},{"key":"2026083119454315500_cit45","first-page":"1","article-title":"Beyond Dropout:\nRobust Convolutional Neural Networks Based on Local Feature Masking","author":"Gong","year":"2024","journal-title":"Proc. Int. Jt. Conf. Neural Networks"},{"key":"2026083119454315500_cit46","doi-asserted-by":"publisher","first-page":"136839","DOI":"10.1016\/j.jclepro.2023.136839","article-title":"Investigation of Relationship\nbetween Polycyclic Aromatic Hydrocarbons\nand Human Activities in Urban Soils of China Using Machine Learning\nMethods","volume":"404","author":"Xu","year":"2023","journal-title":"J. Clean. Prod."},{"key":"2026083119454315500_cit47","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.jclepro.2018.01.047","article-title":"The Identification\nof Truck-Related Greenhouse Gas Emissions and Critical Impact Factors\nin an Urban Logistics Network","volume":"178","author":"Gan","year":"2018","journal-title":"J. Clean. Prod."}],"container-title":["Environmental Science &amp;\nTechnology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.6c06741","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/esthag\/article-pdf\/60\/33\/23415\/66487966\/acs.est.6c06741.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/esthag\/article-pdf\/60\/33\/23415\/66487966\/acs.est.6c06741.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T23:45:48Z","timestamp":1788219948000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/esthag\/article\/60\/33\/23415\/5252143\/Interpretable-Graph-Deep-Learning-Reveals"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,11]]},"references-count":47,"journal-issue":{"issue":"33","published-online":{"date-parts":[[2026,8,11]]},"published-print":{"date-parts":[[2026,8,25]]}},"URL":"https:\/\/doi.org\/10.1021\/acs.est.6c06741","relation":{},"ISSN":["0013-936X","1520-5851"],"issn-type":[{"value":"0013-936X","type":"print"},{"value":"1520-5851","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,11]]}}}