{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:08:25Z","timestamp":1742929705205,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819610921"},{"type":"electronic","value":"9789819610938"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-1093-8_24","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T21:18:15Z","timestamp":1739999895000},"page":"287-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Generative Flow Networks for\u00a0Influence Maximization in\u00a0Social Networks"],"prefix":"10.1007","author":[{"given":"Zizhen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deying","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongcai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenping","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,20]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Ali, K., Wang, C.Y., Chen, Y.S.: Boosting reinforcement learning in competitive influence maximization with transfer learning. In: 2018 IEEE\/WIC\/ACM International Conference on Web Intelligence (WI), pp. 395\u2013400. IEEE (2018)","DOI":"10.1109\/WI.2018.00-62"},{"issue":"210","key":"24_CR2","first-page":"1","volume":"24","author":"Y Bengio","year":"2023","unstructured":"Bengio, Y., Lahlou, S., Deleu, T., Hu, E.J., Tiwari, M., Bengio, E.: GFlowNet foundations. J. Mach. Learn. Res. 24(210), 1\u201355 (2023)","journal-title":"J. Mach. Learn. Res."},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Borgs, C., Brautbar, M., Chayes, J., Lucier, B.: Maximizing social influence in nearly optimal time. In: Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 946\u2013957. SIAM (2014)","DOI":"10.1137\/1.9781611973402.70"},{"key":"24_CR4","unstructured":"Chen, H., Qiu, W., Ou, H.C., An, B., Tambe, M.: Contingency-aware influence maximization: a reinforcement learning approach. In: Uncertainty in Artificial Intelligence, pp. 1535\u20131545. PMLR (2021)"},{"key":"24_CR5","unstructured":"Chen, W.: Computational social influence. In: Proceedings of the 1st International Conference on Social Influence Analysis-Volume 1398, pp.\u00a01\u20131 (2015)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, C., Wang, Y.: Scalable influence maximization for prevalent viral marketing in large-scale social networks. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1029\u20131038 (2010)","DOI":"10.1145\/1835804.1835934"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Domingos, P., Richardson, M.: Mining the network value of customers. In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 57\u201366 (2001)","DOI":"10.1145\/502512.502525"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Feng, Y., You, H., Zhang, Z., Ji, R., Gao, Y.: Hypergraph neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a033, pp. 3558\u20133565 (2019)","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"24_CR9","unstructured":"Ireland, D., Montana, G.: LeNSE: learning to navigate subgraph embeddings for large-scale combinatorial optimisation. In: International Conference on Machine Learning, pp. 9622\u20139638. PMLR (2022)"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., Tardos, \u00c9.: Maximizing the spread of influence through a social network. In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137\u2013146 (2003)","DOI":"10.1145\/956750.956769"},{"key":"24_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1007\/11523468_91","volume-title":"Automata, Languages and Programming","author":"D Kempe","year":"2005","unstructured":"Kempe, D., Kleinberg, J., Tardos, \u00c9.: Influential nodes in a diffusion model for social networks. In: Caires, L., Italiano, G.F., Monteiro, L., Palamidessi, C., Yung, M. (eds.) ICALP 2005. LNCS, vol. 3580, pp. 1127\u20131138. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11523468_91"},{"key":"24_CR12","unstructured":"Khalil, E., Dai, H., Zhang, Y., Dilkina, B., Song, L.: Learning combinatorial optimization algorithms over graphs. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"24_CR13","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1016\/j.ins.2022.06.075","volume":"607","author":"S Kumar","year":"2022","unstructured":"Kumar, S., Mallik, A., Khetarpal, A., Panda, B.: Influence maximization in social networks using graph embedding and graph neural network. Inf. Sci. 607, 1617\u20131636 (2022)","journal-title":"Inf. Sci."},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J., Glance, N.: Cost-effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 420\u2013429 (2007)","DOI":"10.1145\/1281192.1281239"},{"key":"24_CR16","unstructured":"Leskovec, J., Mcauley, J.: Learning to discover social circles in ego networks. Adv. Neural Inf. Process. Syst. 25 (2012)"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Li, H., Xu, M., Bhowmick, S.S., Rayhan, J.S., Sun, C., Cui, J.: PIANO: Influence maximization meets deep reinforcement learning. IEEE Transactions on Computational Social Systems (2022)","DOI":"10.1109\/TCSS.2022.3164667"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Lin, S.C., Lin, S.D., Chen, M.S.: A learning-based framework to handle multi-round multi-party influence maximization on social networks. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 695\u2013704 (2015)","DOI":"10.1145\/2783258.2783392"},{"key":"24_CR19","first-page":"20000","volume":"33","author":"S Manchanda","year":"2020","unstructured":"Manchanda, S., Mittal, A., Dhawan, A., Medya, S., Ranu, S., Singh, A.: GCOMB: learning budget-constrained combinatorial algorithms over billion-sized graphs. Adv. Neural. Inf. Process. Syst. 33, 20000\u201320011 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"24_CR20","unstructured":"Meirom, E., Maron, H., Mannor, S., Chechik, G.: Controlling graph dynamics with reinforcement learning and graph neural networks. In: International Conference on Machine Learning, pp. 7565\u20137577. PMLR (2021)"},{"issue":"9","key":"24_CR21","doi-asserted-by":"publisher","first-page":"4398","DOI":"10.1109\/TKDE.2020.3040028","volume":"34","author":"G Panagopoulos","year":"2020","unstructured":"Panagopoulos, G., Malliaros, F.D., Vazirgiannis, M.: Multi-task learning for influence estimation and maximization. IEEE Trans. Knowl. Data Eng. 34(9), 4398\u20134409 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR22","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.ins.2023.01.139","volume":"629","author":"G Rao","year":"2023","unstructured":"Rao, G., Li, D., Wang, Y., Chen, W., Zhou, C., Zhu, Y.: Maximizing the influence with $$\\kappa $$-grouping constraint. Inf. Sci. 629, 204\u2013221 (2023)","journal-title":"Inf. Sci."},{"key":"24_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119718","volume":"651","author":"G Rao","year":"2023","unstructured":"Rao, G., Li, D., Wang, Y., Chen, W., Zhou, C., Zhu, Y.: Online conflict resolution: algorithm design and analysis. Inf. Sci. 651, 119718 (2023)","journal-title":"Inf. Sci."},{"key":"24_CR24","doi-asserted-by":"crossref","unstructured":"Rossi, R., Ahmed, N.: The network data repository with interactive graph analytics and visualization. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a029 (2015)","DOI":"10.1609\/aaai.v29i1.9277"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Tang, Y., Shi, Y., Xiao, X.: Influence maximization in near-linear time: a martingale approach. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1539\u20131554 (2015)","DOI":"10.1145\/2723372.2723734"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Tang, Y., Xiao, X., Shi, Y.: Influence maximization: near-optimal time complexity meets practical efficiency. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 75\u201386 (2014)","DOI":"10.1145\/2588555.2593670"}],"container-title":["Lecture Notes in Computer Science","Computing and Combinatorics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-1093-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T21:18:32Z","timestamp":1739999912000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-1093-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819610921","9789819610938"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-1093-8_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"20 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COCOON","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Computing and Combinatorics Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cocoon2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/anl.sjtu.edu.cn\/cocoon2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}