{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:06:45Z","timestamp":1757617605956,"version":"3.44.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031818202"},{"type":"electronic","value":"9783031818219"}],"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\/978-3-031-81821-9_5","type":"book-chapter","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T09:16:23Z","timestamp":1740993383000},"page":"75-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Temporal Random Walks for\u00a0Graph Representation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2284-3119","authenticated-orcid":false,"given":"Monachary","family":"Kammari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4413-0328","authenticated-orcid":false,"given":"S.","family":"Durga Bhavani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Ali, Z., Qi, G., Muhammad, K., Ali, B., Abro, W.A.: Paper recommendation based on heterogeneous network embedding. Knowl.-Based Syst. 210 (2020)","DOI":"10.1016\/j.knosys.2020.106438"},{"issue":"13","key":"5_CR2","doi-asserted-by":"publisher","first-page":"10229","DOI":"10.1007\/s00521-021-06135-y","volume":"34","author":"Z Ali","year":"2022","unstructured":"Ali, Z., Qi, G., Muhammad, K., Bhattacharyya, S., Ullah, I., Abro, W.: Citation recommendation employing heterogeneous bibliographic network embedding. Neural Comput. Appl. 34(13), 10229\u201310242 (2022)","journal-title":"Neural Comput. Appl."},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Barab\u00e1si, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509\u2013512 (1999)","DOI":"10.1126\/science.286.5439.509"},{"issue":"3","key":"5_CR4","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1007\/s11192-012-0940-1","volume":"96","author":"V Batagelj","year":"2013","unstructured":"Batagelj, V., Cerin\u0161ek, M.: On bibliographic networks. Scientometrics 96(3), 845\u2013864 (2013)","journal-title":"Scientometrics"},{"issue":"6","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M Belkin","year":"2003","unstructured":"Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput. 15(6), 1373\u20131396 (2003)","journal-title":"Neural Comput."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Bhagavatula, C., Feldman, S., Power, R., Ammar, W.: Content-based citation recommendation. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 238\u2013251 (2018)","DOI":"10.18653\/v1\/N18-1022"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Bourigault, S., Lagnier, C., Lamprier, S., Denoyer, L., Gallinari, P.: Learning social network embeddings for predicting information diffusion. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pp. 393\u2013402 (2014)","DOI":"10.1145\/2556195.2556216"},{"issue":"12","key":"5_CR8","doi-asserted-by":"publisher","first-page":"6026","DOI":"10.1109\/TNNLS.2018.2817245","volume":"29","author":"X Cai","year":"2018","unstructured":"Cai, X., Han, J., Li, W., Zhang, R., Pan, S., Yang, L.: A three-layered mutually reinforced model for personalized citation recommendation. IEEE Trans. Neural Netw. Learn. Syst. 29(12), 6026\u20136037 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Daza, D., Cochez, M., Groth, P.: Inductive entity representations from text via link prediction. In: Proceedings of the Web Conference 2021, pp. 798\u2013808 (2021)","DOI":"10.1145\/3442381.3450141"},{"key":"5_CR10","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"issue":"3\u20135","key":"5_CR11","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3\u20135), 75\u2013174 (2010)","journal-title":"Phys. Rep."},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Hamilton, W.L.: Graph Representation Learning. Morgan & Claypool Publishers (2020)","DOI":"10.1007\/978-3-031-01588-5"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Hasan, M.A., Zaki, M.J.: A survey of link prediction in social networks. Soc. Netw. Data Anal. 243\u2013275 (2011)","DOI":"10.1007\/978-1-4419-8462-3_9"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Henderson, K., et al.: Rolx: structural role extraction & mining in large graphs. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1231\u20131239 (2012)","DOI":"10.1145\/2339530.2339723"},{"issue":"460","key":"5_CR16","doi-asserted-by":"publisher","first-page":"1090","DOI":"10.1198\/016214502388618906","volume":"97","author":"PD Hoff","year":"2002","unstructured":"Hoff, P.D., Raftery, A.E., Handcock, M.S.: Latent space approaches to social network analysis. J. Am. Stat. Assoc. 97(460), 1090\u20131098 (2002)","journal-title":"J. Am. Stat. Assoc."},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Kammari, M., Bhavani, S.D.: Citation recommendation using modified hits algorithm. Computing 1\u201321 (2023)","DOI":"10.1007\/s00607-023-01213-6"},{"key":"5_CR18","unstructured":"Kashima, H., Tsuda, K., Inokuchi, A.: Marginalized kernels between labeled graphs. In: Proceedings of the 20th International Conference on Machine Learning (ICML 2003), pp. 321\u2013328 (2003)"},{"key":"5_CR19","unstructured":"Kipf, T.N., Welling, M.: Variational graph auto-encoders. In: NIPS Workshop on Bayesian Deep Learning (2016). https:\/\/arxiv.org\/abs\/1611.07308"},{"key":"5_CR20","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: International Conference on Learning Representations (ICLR) (2017). https:\/\/arxiv.org\/abs\/1609.02907"},{"key":"5_CR21","unstructured":"Leskovec, J., Krevl, A.: SNAP Datasets: Stanford large network dataset collection (2014). http:\/\/snap.stanford.edu\/data"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Li, L., Wang, W., Yu, S., Wan, L., Xu, Z., Kong, X.: A modified node2vec method for disappearing link prediction. In: 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 15th International Conference on Pervasive Intelligence and Computing, 3rd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC\/PiCom\/DataCom\/CyberSciTech), pp. 1232\u20131235. IEEE (2017)","DOI":"10.1109\/DASC-PICom-DataCom-CyberSciTec.2017.197"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp. 556\u2013559 (2003)","DOI":"10.1145\/956863.956972"},{"key":"5_CR24","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"5_CR25","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":"5_CR26","unstructured":"Shervashidze, N., Schweitzer, P., Van\u00a0Leeuwen, E.J., Mehlhorn, K., Borgwardt, K.M.: Weisfeiler-Lehman graph kernels. J. Mach. Learn. Res. 12(9) (2011)"},{"key":"5_CR27","doi-asserted-by":"publisher","unstructured":"Singer, U., Guy, I., Radinsky, K.: Node embedding over temporal graphs. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, pp. 4605\u20134612 (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/640","DOI":"10.24963\/ijcai.2019\/640"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line: large-scale information network embedding. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1067\u20131077 (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"5_CR29","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: Arnetminer: extraction and mining of academic social networks. In: KDD 2008, pp. 990\u2013998 (2008)","DOI":"10.1145\/1401890.1402008"},{"issue":"10","key":"5_CR30","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1038\/nprot.2009.177","volume":"4","author":"A Theocharidis","year":"2009","unstructured":"Theocharidis, A., Van Dongen, S., Enright, A.J., Freeman, T.C.: Network visualization and analysis of gene expression data using biolayout express 3D. Nat. Protoc. 4(10), 1535\u20131550 (2009)","journal-title":"Nat. Protoc."},{"key":"5_CR31","unstructured":"Velickovic, P., et al.: Graph attention networks. Stat 1050(20), 10-48550 (2017)"},{"key":"5_CR32","doi-asserted-by":"crossref","unstructured":"Wang, X., van Harmelen, F., Cochez, M., Huang, Z.: Scientific item recommendation using a citation network. In: International Conference on Knowledge Science, Engineering and Management, pp. 469\u2013484. Springer (2022)","DOI":"10.1007\/978-3-031-10986-7_38"},{"issue":"1","key":"5_CR33","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TKDE.2020.2981333","volume":"34","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Cui, P., Zhu, W.: Deep learning on graphs: a survey. IEEE Trans. Knowl. Data Eng. 34(1), 249\u2013270 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Big Data and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-81821-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T07:02:31Z","timestamp":1757142151000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-81821-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031818202","9783031818219"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-81821-9_5","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":"4 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hyderabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"17 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigda2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/scis.uohyd.ac.in\/~bda2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}