{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T23:03:12Z","timestamp":1779922992983,"version":"3.53.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032214799","type":"print"},{"value":"9783032214805","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-21480-5_7","type":"book-chapter","created":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T22:15:12Z","timestamp":1779920112000},"page":"89-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A FastMap-Based Encoder-Decoder Architecture and\u00a0Its Applications"],"prefix":"10.1007","author":[{"given":"Kexin","family":"Zheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomy","family":"Phan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"Koenig","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. K. Satish","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,1]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Cohen, L., Uras, T., Jahangiri, S., Arunasalam, A., Koenig, S., Kumar, T.K.S.: The FastMap algorithm for shortest path computations. In: Proceedings of the International Joint Conference on Artificial Intelligence (2018)","DOI":"10.24963\/ijcai.2018\/198"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Datar, M., Immorlica, N., Indyk, P., Mirrokni, V.: Locality-sensitive hashing scheme based on $$p$$-stable distributions. In: Proceedings of the Twentieth Annual Symposium on Computational Geometry (2004)","DOI":"10.1145\/997817.997857"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Faloutsos, C., Lin, K.I.: FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (1995)","DOI":"10.1145\/223784.223812"},{"key":"7_CR4","unstructured":"Gurobi Optimization, LLC: Gurobi Optimizer Reference Manual (2024). https:\/\/www.gurobi.com"},{"key":"7_CR5","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. In: Proceedings of the International Conference on Learning Representations (2014)"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Li, A., Stuckey, P., Koenig, S., Kumar, T.K.S.: A FastMap-based algorithm for block modeling. In: Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (2022)","DOI":"10.1007\/978-3-031-08011-1_16"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Li, A., Stuckey, P., Koenig, S., Kumar, T.K.S.: A FastMap-based framework for efficiently computing top-$$K$$ projected centrality. In: Proceedings of the Ninth International Conference on Machine Learning, Optimization, and Data Science (2023)","DOI":"10.1007\/978-3-031-53969-5_13"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., Felner, A., Koenig, S., Kumar, T.K.S.: Using FastMap to solve graph problems in a euclidean space. In: Proceedings of the International Conference on Automated Planning and Scheduling (2019)","DOI":"10.1609\/icaps.v29i1.3488"},{"key":"7_CR9","unstructured":"Liu, Q., Allamanis, M., Brockschmidt, M., Gaunt, A.: Constrained graph variational autoencoders for molecule design. In: Proceedings of the Conference on Neural Information Processing Systems (2018)"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Sturtevant, N.: Benchmarks for grid-based pathfinding. Trans. Comput. Intell. AI Games (2012)","DOI":"10.1109\/TCIAIG.2012.2197681"},{"key":"7_CR11","unstructured":"Vahdat, A., Kautz, J.: NVAE: a deep hierarchical variational autoencoder. In: Proceedings of the Conference on Neural Information Processing Systems (2020)"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"White, M., Sharma, K., Li, A., Kumar, T.K.S., Nakata, N.: Classifying seismograms using the FastMap algorithm and support-vector machines. Commun. Eng. (2023)","DOI":"10.21203\/rs.3.rs-1764143\/v1"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Zheng, K., Li, A., Kumar, T.K.S.: FastMapSVM\/FastMapSVR for predictive tasks on CSPs, SAT, and weighted CSPs. In: Proceedings of the International Conference on Machine Learning and Applications (2024)","DOI":"10.1109\/ICMLA61862.2024.00063"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-21480-5_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T22:15:15Z","timestamp":1779920115000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-21480-5_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032214799","9783032214805"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-21480-5_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Artificial Intelligence Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Castiglione della Pescaia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mod2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2025.icas.events","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}