{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T05:30:33Z","timestamp":1769146233202,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819557158","type":"print"},{"value":"9789819557165","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\/978-981-95-5716-5_41","type":"book-chapter","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T13:06:38Z","timestamp":1769087198000},"page":"664-680","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["GraphADQ:Graph-Attentive Dual Deep Q-Network for\u00a0Adaptive Community Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5538-8421","authenticated-orcid":false,"given":"Jingsheng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7765-5256","authenticated-orcid":false,"given":"Lumeng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1212-4855","authenticated-orcid":false,"given":"Liying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6940-5557","authenticated-orcid":false,"given":"Yue","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2329-4593","authenticated-orcid":false,"given":"Xinzhu","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,23]]},"reference":[{"key":"41_CR1","doi-asserted-by":"crossref","unstructured":"Kitchin, R.: The real-time city? Big data and smart urbanism. GeoJournal 79(1), 1\u201314 (2014). http:\/\/www.jstor.org\/stable\/24432611","DOI":"10.1007\/s10708-013-9516-8"},{"key":"41_CR2","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.aiopen.2021.01.001","volume":"1","author":"J Zhou","year":"2020","unstructured":"Zhou, J., et al.: Graph neural networks: a review of methods and applications. AI Open 1, 57\u201381 (2020)","journal-title":"AI Open"},{"key":"41_CR3","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"41_CR4","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"issue":"1","key":"41_CR5","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1073\/pnas.0605965104","volume":"104","author":"S Fortunato","year":"2007","unstructured":"Fortunato, S., Barth\u00e9lemy, M.: Resolution limit in community detection. Proc. Natl. Acad. Sci. U.S.A. 104(1), 36\u201341 (2007)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"41_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2024.112865","volume":"504","author":"Y Wang","year":"2024","unstructured":"Wang, Y., Lai, C.-Y.: Multi-stage neural networks: Function approximator of machine precision. J. Comput. Phys. 504, 112865 (2024)","journal-title":"J. Comput. Phys."},{"key":"41_CR7","unstructured":"Lundberg, S.M., Lee, S.-I.: A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"41_CR8","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 5, pp. 281\u2013298 (1967)"},{"issue":"10","key":"41_CR9","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel, V.D., Guillaume, J.-L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), P10008 (2008)","journal-title":"J. Stat. Mech: Theory Exp."},{"key":"41_CR10","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD), pp. 226\u2013231 (1996)"},{"key":"41_CR11","unstructured":"Qiu, C., Huang, Z., Xu, W., Li, H.: VGAER: graph neural network reconstruction-based community detection. In: arXiv:abs\/2201.04066, pp. 1\u201315 (2022). https:\/\/arxiv.org\/abs\/2201.04066"},{"key":"41_CR12","unstructured":"Hou, Y., Tran, C., Shin, W.-Y.: META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. In: arXiv: abs\/2208.11015, pp. 1\u201318 (2022). https:\/\/arxiv.org\/abs\/2208.11015"},{"key":"41_CR13","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks. arXiv:1710.10903 (2017)"},{"key":"41_CR14","unstructured":"Errica, F., Podda, M., Bacciu, D., Micheli, A.: A fair comparison of graph neural networks for graph classification. arXiv:1912.09893 (2019)"},{"key":"41_CR15","unstructured":"Roderick, M., MacGlashan, J., Tellex, S.: Implementing the deep q-network. arXiv:1711.07478 (2017)"},{"key":"41_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Y., et al.: Reinforcement graph clustering with unknown cluster number. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 3528\u20133537 (2023)","DOI":"10.1145\/3581783.3612155"},{"key":"41_CR17","doi-asserted-by":"crossref","unstructured":"van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double q-learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 30(1) (2016)","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"41_CR18","unstructured":"Wang, Z., Schaul, T., Hessel, M., Hasselt, H., Lanctot, M., Freitas, N.: Dueling network architectures for deep reinforcement learning. In: Proceedings of the International Conference on Machine Learning, pp. 1995\u20132003 (2016)"},{"key":"41_CR19","unstructured":"Schaul, T., Quan, J., Antonoglou, I., Silver, D.: Prioritized experience replay. arXiv:1511.05952 (2015)"},{"key":"41_CR20","doi-asserted-by":"crossref","unstructured":"Dabney, W., Ostrovski, G., Silver, D., Munos, R.: Implicit quantile networks for distributional reinforcement learning. In: Proceedings of the International Conference on Machine Learning, pp. 1096\u20131105 (2018)","DOI":"10.1609\/aaai.v32i1.11791"},{"key":"41_CR21","unstructured":"Patel, S., Sihmar, S., Jatain, A.: A study of hierarchical clustering algorithms. In: 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 537\u2013541 (2015)"},{"issue":"6","key":"41_CR22","doi-asserted-by":"publisher","first-page":"2629","DOI":"10.1109\/TKDE.2023.3323580","volume":"36","author":"W Doo","year":"2023","unstructured":"Doo, W., Kim, H.: Simultaneous deep clustering and feature selection via k-concrete autoencoder. IEEE Trans. Knowl. Data Eng. 36(6), 2629\u20132642 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"41_CR23","doi-asserted-by":"crossref","unstructured":"Ronen, M., Finder, S.E., Freifeld, O.: Deepdpm: deep clustering with an unknown number of clusters. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9861\u20139870 (2022)","DOI":"10.1109\/CVPR52688.2022.00963"},{"key":"41_CR24","unstructured":"Qiu, C., Huang, Z., Xu, W., Li, H.: VGAER: Graph Neural Network Reconstruction based Community Detection. arXiv [Cs.SI] (2022). Retrieved from http:\/\/arxiv.org\/abs\/2201.04066"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5716-5_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T13:06:47Z","timestamp":1769087207000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5716-5_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819557158","9789819557165"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5716-5_41","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":"23 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"28 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/apweb2025.sau.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}