{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T23:02:40Z","timestamp":1784934160764,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":70,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62232004, 62472094"],"award-info":[{"award-number":["62232004, 62472094"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737176","type":"proceedings-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T13:32:14Z","timestamp":1754055134000},"page":"1071-1082","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Urban Region Pre-training and Prompting: A Graph-based Approach"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9570-1456","authenticated-orcid":false,"given":"Jiahui","family":"Jin","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0146-7494","authenticated-orcid":false,"given":"Yifan","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4410-0706","authenticated-orcid":false,"given":"Dong","family":"Kan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3906-527X","authenticated-orcid":false,"given":"Haojia","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2224-4634","authenticated-orcid":false,"given":"Xiangguo","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6163-366X","authenticated-orcid":false,"given":"Zhicheng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6106-0214","authenticated-orcid":false,"given":"Xigang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9067-7896","authenticated-orcid":false,"given":"Jinghui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Retrieved","author":"Arcgis","year":"2024","unstructured":"Arcgis 2024. ArcGIS Online. Retrieved July 28, 2024 from https:\/\/www.arcgis.com\/index.html"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358097"},{"key":"e_1_3_2_2_3_1","volume-title":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM). 87-97","author":"Balsebre Pasquale","year":"2023","unstructured":"Pasquale Balsebre, Weiming Huang, Gao Cong, and Yi Li. 2023. City Foundation Models for Learning General Purpose Representations from OpenStreetMap. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM). 87-97."},{"key":"e_1_3_2_2_4_1","volume-title":"Retrieved","author":"Census Bureau","year":"2024","unstructured":"Census Bureau 2024. Measuring America's People, Places, and Economy. Retrieved July 28, 2024 from https:\/\/www.census.gov\/"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.729"},{"key":"e_1_3_2_2_6_1","volume-title":"Retrieved","author":"Portal Chicago Data","year":"2024","unstructured":"Chicago Data Portal 2024. Chicago Data Portal. Retrieved July 28, 2024 from https:\/\/data.cityofchicago.org\/"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3523210.3523224"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526165"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20615"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.14778\/3342263.3342277"},{"key":"e_1_3_2_2_12_1","volume-title":"Retrieved","author":"Foursquare","year":"2024","unstructured":"Foursquare 2024. What can Foursquare do for you? Retrieved July 28, 2024 from https:\/\/data.cityofchicago.org\/"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301906"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1970.10488634"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24261-3_7"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"e_1_3_2_2_19_1","first-page":"5862","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS)","volume":"33","author":"Huang Kexin","year":"2020","unstructured":"Kexin Huang and Marinka Zitnik. 2020. Graph meta learning via local subgraphs. In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS), Vol. 33. 5862-5874."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358001"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2024.103673"},{"key":"e_1_3_2_2_22_1","volume-title":"Variational graph auto-encoders. arXiv preprint arXiv:1611.07308","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling. 2016. Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671456"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599538"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28718"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671578"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2915525"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588577"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583876"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651476"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583386"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645685"},{"key":"e_1_3_2_2_35_1","first-page":"62442","volume-title":"Proceedings of the 37th International Conference on Neural Information Processing Systems (NeurIPS)","volume":"36","author":"Ning Yansong","year":"2024","unstructured":"Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, and Hui Xiong. 2024. UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NeurIPS), Vol. 36. 62442-62456."},{"key":"e_1_3_2_2_36_1","volume-title":"Retrieved","author":"OpenData NYC","year":"2024","unstructured":"NYC OpenData 2024. Open Data for All New Yorkers. Retrieved July 28, 2024 from https:\/\/opendata.cityofnewyork.us\/"},{"key":"e_1_3_2_2_37_1","volume-title":"ODIAC fossil fuel CO2 emissions dataset (Version name: ODIAC2023)","author":"Oda Tomohiro","year":"2015","unstructured":"Tomohiro Oda and Shamil Maksyutov. 2015. ODIAC fossil fuel CO2 emissions dataset (Version name: ODIAC2023). Center for Global Environmental Research (CGER), National Institute for Environmental Studies (2015)."},{"key":"e_1_3_2_2_38_1","volume-title":"Retrieved","year":"2024","unstructured":"OpenStreetMap 2024. OpenStreetMap. Retrieved July 28, 2024 from https:\/\/www.openstreetmap.org\/"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.437"},{"key":"e_1_3_2_2_40_1","volume-title":"Retrieved","author":"Safegraph","year":"2024","unstructured":"Safegraph 2024. Your Partner in Places Data. Retrieved July 28, 2024 from https:\/\/www.safegraph.com\/"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3736965"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00336"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599256"},{"key":"e_1_3_2_2_44_1","volume-title":"Graph Prompt Learning: A Comprehensive Survey and Beyond. arXiv preprint arXiv:2311.16534","author":"Sun Xiangguo","year":"2024","unstructured":"Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, and Jia Li. 2024. Graph Prompt Learning: A Comprehensive Survey and Beyond. arXiv preprint arXiv:2311.16534 (2024)."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671987"},{"key":"e_1_3_2_2_46_1","volume-title":"A computer movie simulating urban growth in the Detroit region. Economic geography 46, sup1","author":"Tobler Waldo R","year":"1970","unstructured":"Waldo R Tobler. 1970. A computer movie simulating urban growth in the Detroit region. Economic geography 46, sup1 (1970), 234-240."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1859891"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133006"},{"key":"e_1_3_2_2_49_1","volume-title":"Proceedings of Forty-Second International Conference on Machine Learning (ICML).","author":"Wang Qunzhong","year":"2025","unstructured":"Qunzhong Wang, Xiangguo Sun, and Hong Cheng. 2025. Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. In Proceedings of Forty-Second International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/321"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671992"},{"key":"e_1_3_2_2_52_1","volume-title":"Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment. arXiv preprint arXiv:2312.11813","author":"Xu Fengli","year":"2023","unstructured":"Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, and Yong Li. 2023. Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment. arXiv preprint arXiv:2312.11813 (2023)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2024\/832"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645378"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102753"},{"key":"e_1_3_2_2_56_1","volume-title":"Proceedings of the ACM Web Conference 2024 (WWW). 3690-3699","author":"Yang Yuhao","year":"2024","unstructured":"Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, and Chao Huang. 2024. Graph- Pro: Graph Pre-training and Prompt Learning for Recommendation. In Proceedings of the ACM Web Conference 2024 (WWW). 3690-3699."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/545"},{"key":"e_1_3_2_2_58_1","volume-title":"Proceedings of Fortieth International Conference on Machine Learning (ICML). 40075-40092","author":"Yoo Seungryong","year":"2023","unstructured":"Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, and Sungroh Yoon. 2023. Improving visual prompt tuning for self-supervised vision transformers. In Proceedings of Fortieth International Conference on Machine Learning (ICML). 40075-40092."},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29596"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3419109"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645423"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671662"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220874"},{"key":"e_1_3_2_2_64_1","volume-title":"Proceedings of the 29th International Joint Conferences on Artificial Intelligence (IJCAI). 4431-4437","author":"Zhang Mingyang","year":"2021","unstructured":"Mingyang Zhang, Tong Li, Yong Li, and Pan Hui. 2021. Multi-view joint graph representation learning for urban region embedding. In Proceedings of the 29th International Joint Conferences on Artificial Intelligence (IJCAI). 4431-4437."},{"key":"e_1_3_2_2_65_1","volume-title":"Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. arXiv preprint arXiv:2402.01749","author":"Zhang Weijia","year":"2024","unstructured":"Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, and Hui Xiong. 2024. Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. arXiv preprint arXiv:2402.01749 (2024)."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3253802"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01631"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25625"},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3296501"}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Toronto ON Canada","acronym":"KDD '25","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3737176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T18:06:08Z","timestamp":1777572368000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737176"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":70,"alternative-id":["10.1145\/3711896.3737176","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737176","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}