{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:44:36Z","timestamp":1765568676727,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","funder":[{"name":"National Science and Technology Council (NSTC) of Taiwan","award":["114-2628-E-006 -005 -MY3"],"award-info":[{"award-number":["114-2628-E-006 -005 -MY3"]}]},{"name":"National Science and Technology Council (NSTC) of Taiwan","award":["112-2221-E-006 -150 -MY3"],"award-info":[{"award-number":["112-2221-E-006 -150 -MY3"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1145\/3748636.3762708","type":"proceedings-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:11:30Z","timestamp":1765566690000},"page":"39-51","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["M3: Recommendation via Attention-Graph Cluster Q-Learning with Multi-Scale Spatial Heterogeneity for Multi-Purpose, Multi-Stakeholder Green Attractions in Transportation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-3769-3432","authenticated-orcid":false,"given":"Shih-Yu","family":"Lai","sequence":"first","affiliation":[{"name":"National Taiwan University, Taiwan, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2031-7928","authenticated-orcid":false,"given":"Tzu-Hsin","family":"Hsieh","sequence":"additional","affiliation":[{"name":"Technische Universiteit Delft, Delft, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9938-3299","authenticated-orcid":false,"given":"Pei-Chi","family":"Tsai","sequence":"additional","affiliation":[{"name":"University College London, London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2734-4740","authenticated-orcid":false,"given":"Chao-Chun","family":"Kung","sequence":"additional","affiliation":[{"name":"OAOA Architecture Associates, London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9521-5445","authenticated-orcid":false,"given":"Sing-Kai","family":"Ling","sequence":"additional","affiliation":[{"name":"104 Corporation, Taiwan, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6924-1337","authenticated-orcid":false,"given":"Hsun-Ping","family":"Hsieh","sequence":"additional","affiliation":[{"name":"National Cheng Kung University, Taiwan, Taiwan"}]}],"member":"320","published-online":{"date-parts":[[2025,12,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Retrieved","author":"Tainan City Government Agriculture Bureau","year":"2024","unstructured":"Tainan City Government Agriculture Bureau. 2024. Distribution and production period of agricultural products in Taiwan. Retrieved April 01, 2024 from https:\/\/agron.tainan.gov.tw\/cp.aspx?n=34637"},{"key":"e_1_3_2_1_2_1","volume-title":"Retrieved","author":"Tainan City Government Agriculture Bureau","year":"2024","unstructured":"Tainan City Government Agriculture Bureau. 2024. Tainan Old Trees Maps and Database. Retrieved April 01, 2024 from https:\/\/oldtree.tainan.gov.tw\/#\/"},{"key":"e_1_3_2_1_3_1","volume-title":"Retrieved","author":"Taiwan Bureau of Transportation, Tainan City Government.","year":"2024","unstructured":"Taiwan Bureau of Transportation, Tainan City Government. 2024. Tainan Bus Stop Information. Retrieved April 01, 2024 from https:\/\/data.tainan.gov.tw\/dataset\/tainan-bus-stop"},{"key":"e_1_3_2_1_4_1","unstructured":"Jie Chen Tengfei Ma and Cao Xiao. 2018. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. ICLR."},{"key":"e_1_3_2_1_5_1","volume-title":"Stochastic Training of Graph Convolutional Networks with Variance Reduction. In International Conference on Machine Learning. https:\/\/api.semanticscholar.org\/CorpusID:3636539","author":"Chen Jianfei","year":"2017","unstructured":"Jianfei Chen, Jun Zhu, and Le Song. 2017. Stochastic Training of Graph Convolutional Networks with Variance Reduction. In International Conference on Machine Learning. https:\/\/api.semanticscholar.org\/CorpusID:3636539"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2020.102521"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1155\/2024\/8681100"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3660632"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3019373"},{"key":"e_1_3_2_1_12_1","volume-title":"Inductive Representation Learning on Large Graphs. (06","author":"Hamilton William","year":"2017","unstructured":"William Hamilton, Rex Ying, and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. (06 2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016191"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/su16052195"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"e_1_3_2_1_17_1","volume-title":"Graph convolution-based deep reinforcement learning for multi-agent decision-making in mixed traffic environments. arXiv preprint arXiv:2201.12776","author":"Liu Qi","year":"2022","unstructured":"Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, and Shihua Yuan. 2022. Graph convolution-based deep reinforcement learning for multi-agent decision-making in mixed traffic environments. arXiv preprint arXiv:2201.12776 (2022)."},{"key":"e_1_3_2_1_18_1","volume-title":"Retrieved","author":"Agriculture Taiwan Ministry","year":"2024","unstructured":"Taiwan Ministry of Agriculture. 2024. Taiwan Agricultural and Fishery Production Map. Retrieved April 01, 2024 from https:\/\/kmweb.moa.gov.tw\/theme_list.php?theme=production_map"},{"key":"e_1_3_2_1_19_1","volume-title":"Retrieved","author":"Department of Economic and United Nations Social Affairs.","year":"2024","unstructured":"Department of Economic and United Nations Social Affairs. 2024. THE 17 GOALS - Sustainable Development. Retrieved April 01, 2024 from https:\/\/sdgs.un.org\/goals"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19216-1_31"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-73003-5_196"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_23_1","volume-title":"Graph Attention Networks. ArXiv abs\/1710.10903","author":"Velickovic Petar","year":"2017","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio', and Yoshua Bengio. 2017. Graph Attention Networks. ArXiv abs\/1710.10903 (2017). https:\/\/api.semanticscholar.org\/CorpusID:3292002"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tranpol.2021.03.004"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2019.102406"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning -","volume":"48","author":"Wang Ziyu","year":"2016","unstructured":"Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Van Hasselt, Marc Lanctot, and Nando De Freitas. 2016. Dueling network architectures for deep reinforcement learning. In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML'16). JMLR.org, 1995\u20132003."},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 35th International Conference on Neural Information Processing Systems (NIPS '21)","author":"Zeng Hanqing","year":"2024","unstructured":"Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, and Ren Chen. 2024. Decoupling the depth and scope of graph neural networks. In Proceedings of the 35th International Conference on Neural Information Processing Systems (NIPS '21). Curran Associates Inc., Red Hook, NY, USA, Article 1504, 15 pages."},{"key":"e_1_3_2_1_28_1","unstructured":"Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan and Viktor Prasanna. 2020. GraphSAINT: Graph sampling based inductive learning method."},{"key":"e_1_3_2_1_29_1","volume-title":"GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. In Conference on Uncertainty in Artificial Intelligence. https:\/\/api.semanticscholar.org\/CorpusID:3973810","author":"Zhang Jiani","unstructured":"Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, and D. Y. Yeung. 2018. GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. In Conference on Uncertainty in Artificial Intelligence. https:\/\/api.semanticscholar.org\/CorpusID:3973810"}],"event":{"name":"SIGSPATIAL '25: 33rd ACM International Conference on Advances in Geographic Information Systems","location":"The Graduate Hotel Minneapolis Minneapolis MN USA","acronym":"SIGSPATIAL '25","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3748636.3762708","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:12:03Z","timestamp":1765566723000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3748636.3762708"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":29,"alternative-id":["10.1145\/3748636.3762708","10.1145\/3748636"],"URL":"https:\/\/doi.org\/10.1145\/3748636.3762708","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"2025-12-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}