{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T14:19:09Z","timestamp":1770992349475,"version":"3.50.1"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031477201","type":"print"},{"value":"9783031477218","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-47721-8_32","type":"book-chapter","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T10:02:32Z","timestamp":1704794552000},"page":"477-495","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Citation Recommendation Employing Proximity-Based Heterogeneous Network Embeddings"],"prefix":"10.1007","author":[{"given":"Zafar","family":"Ali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irfan","family":"Ullah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pavlos","family":"Kefalas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nimbeshaho","family":"Thierry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalim Ul","family":"Haq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anupam","family":"Sarkar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,10]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Ali, Z., Qi, G., Kefalas, P., Abro, W., Ali, B.: A graph-based taxonomy of citation recommendation models. Artif. Intell. Rev. 1\u201344 (2020)","DOI":"10.1007\/s10462-020-09819-4"},{"key":"32_CR2","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1109\/ACCESS.2018.2885507","volume":"7","author":"X Cai","year":"2019","unstructured":"Cai, X., Zheng, Y., Yang, L., Dai, T., Guo, L.: Bibliographic network representation based personalized citation recommendation. IEEE Access 7, 457\u2013467 (2019)","journal-title":"IEEE Access"},{"key":"32_CR3","unstructured":"Bansal, T., Belanger, D., McCallum, A.: Ask the GRU: multi-task learning for deep text recommendations. In: Proceedings of the 10th ACM Conference on Recommender Systems (RecSys), pp. 107\u2013114 (2016)"},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.dss.2017.10.011","volume":"105","author":"J Son","year":"2017","unstructured":"Son, J., Kim, S.: Academic paper recommender system using multilevel simultaneous citation networks. Decis. Support Syst. 105, 24\u201333 (2017)","journal-title":"Decis. Support Syst."},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Cai, X., Han, J., Li, W., Zhang, R., Pan, S., Yang, L.: A three-layered mutually reinforced model for personalized citation recommendation. Trans. Neural Netw. Learn. Syst. 29, 6026\u20136037 (2018); 12","DOI":"10.1109\/TNNLS.2018.2817245"},{"key":"32_CR6","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1093\/comjnl\/bxt086","volume":"57","author":"J Sun","year":"2014","unstructured":"Sun, J., Ma, J., Liu, Z., Miao, Y.: Leveraging content and connections for scientific article recommendation in social computing contexts. Comput. J. 57, 1331\u20131342 (2014)","journal-title":"Comput. J."},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"Bhagavatula, C., Feldman, S., Power, R., Ammar, W.: Content-based citation recommendation. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 238\u2013251 (2018)","DOI":"10.18653\/v1\/N18-1022"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Chakraborty, T., Modani, N., Narayanam, R., Nagar, S.: DiSCern: a diversified citation recommendation system for scientific queries. In: 31st IEEE International Conference on Data Engineering, (ICDE) 2015, Seoul, South Korea, April 13\u201317, 2015, pp. 555\u2013566 (2015); 4,13","DOI":"10.1109\/ICDE.2015.7113314"},{"key":"32_CR9","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1109\/TKDE.2014.2365789","volume":"27","author":"H Wang","year":"2015","unstructured":"Wang, H., Li, W.: Relational collaborative topic regression for recommender systems. Trans. Knowl. Data Eng. (TKDE) 27, 1343\u20131355 (2015)","journal-title":"Trans. Knowl. Data Eng. (TKDE)"},{"key":"32_CR10","doi-asserted-by":"publisher","first-page":"59618","DOI":"10.1109\/ACCESS.2018.2872730","volume":"6","author":"L Yang","year":"2018","unstructured":"Yang, L., Zheng, Y., Cai, X., Dai, H., Mu, D., Guo, L., Dai, T.: A LSTM based model for personalized context-aware citation recommendation. IEEE Access 6, 59618\u201359627 (2018)","journal-title":"IEEE Access"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Christoforidis, G., Kefalas, P., Papadopoulos, A., Manolopoulos, Y.: Recommendation of points-of-interest using graph embeddings. In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), pp. 31\u201340 (2018)","DOI":"10.1109\/DSAA.2018.00013"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Christoforidis, G., Kefalas, P., Papadopoulos, A., Manolopoulos, Y.: Recommendation of points-of-interest using graph embeddings. In: 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2018, Turin, Italy, October 1\u20133, 2018, pp. 31\u201340 (2018)","DOI":"10.1109\/DSAA.2018.00013"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Tian, G., Jing, L.: Recommending scientific articles using Bi-relational graph-based iterative RWR. In: Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), pp. 399\u2013402 (2013)","DOI":"10.1145\/2507157.2507212"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Gupta, S., Varma, V.: Scientific article recommendation by using distributed representations of text and graph. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 1267\u20131268 (2017)","DOI":"10.1145\/3041021.3053062"},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Kobayashi, Y., Shimbo, M., Matsumoto, Y.: Citation recommendation using distributed representation of discourse facets in scientific articles. In: Proceedings of the 18th ACM\/IEEE on Joint Conference on Digital Libraries, pp. 243\u2013251 (2018)","DOI":"10.1145\/3197026.3197059"},{"key":"32_CR16","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 (WWW), pp. 1067\u20131077 (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"32_CR17","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":"32_CR18","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Yin, Y., Gao, L., Lu, Y., Liu, X.: Cross-language citation recommendation via hierarchical representation learning on heterogeneous graph. In: The 41st International ACM SIGIR Conference on Research , pp. 635\u2013644 (2018)","DOI":"10.1145\/3209978.3210032"},{"key":"32_CR19","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 (KDD), pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"32_CR20","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.eswa.2017.01.060","volume":"78","author":"P Kefalas","year":"2017","unstructured":"Kefalas, P., Manolopoulos, Y.: A time-aware spatio-textual recommender system. Expert Syst. Appl. 78, 396\u2013406 (2017)","journal-title":"Expert Syst. Appl."},{"key":"32_CR21","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s11280-017-0454-0","volume":"21","author":"P Kefalas","year":"2018","unstructured":"Kefalas, P., Symeonidis, P., Manolopoulos, Y.: Recommendations based on a heterogeneous spatio-temporal social network. World Wide Web 21, 345\u2013371 (2018)","journal-title":"World Wide Web"},{"key":"32_CR22","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings Of The 31st International Conference on Machine Learning, vol. 32, pp. 1188\u20131196 (2014); 6,22"},{"key":"32_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106438","volume":"210","author":"Z Ali","year":"2020","unstructured":"Ali, Z., Qi, G., Muhammad, K., Ali, B., Abro, W.: Paper recommendation based on heterogeneous network embedding. Knowl.-Based Syst. 210, 106438 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"32_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114888","volume":"180","author":"Z Ali","year":"2021","unstructured":"Ali, Z., Qi, G., Muhammad, K., Kefalas, P., Khusro, S.: Global citation recommendation employing generative adversarial network. Expert Syst. Appl. 180, 114888 (2021)","journal-title":"Expert Syst. Appl."},{"key":"32_CR25","doi-asserted-by":"crossref","unstructured":"Cohan, A., Feldman, S., Beltagy, I., Downey, D., Weld, D.: Specter: document-level representation learning using citation-informed transformers (2020). arXiv:2004.07180","DOI":"10.18653\/v1\/2020.acl-main.207"},{"key":"32_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105468","volume":"193","author":"C Zhang","year":"2020","unstructured":"Zhang, C., Wang, G., Yu, B., Xie, Y., Pan, K.: Proximity-aware heterogeneous information network embedding. Knowl.-Based Syst. 193, 105468 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"32_CR27","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.knosys.2018.03.022","volume":"151","author":"P Goyal","year":"2018","unstructured":"Goyal, P., Ferrara, E.: Graph embedding techniques, applications, and performance: a survey. Knowl.-Based Syst. 151, 78\u201394 (2018)","journal-title":"Knowl.-Based Syst."},{"key":"32_CR28","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1109\/TKDE.2018.2849727","volume":"31","author":"P Cui","year":"2018","unstructured":"Cui, P., Wang, X., Pei, J., Zhu, W.: A survey on network embedding. Trans. Knowl. Data Eng. 31, 833\u2013852 (2018)","journal-title":"Trans. Knowl. Data Eng."},{"key":"32_CR29","doi-asserted-by":"crossref","unstructured":"Du, N., Guo, J., Wu, C., Hou, A., Zhao, Z., Gan, D.: Recommendation of academic papers based on heterogeneous information networks. In: 2020 IEEE\/ACS 17th International Conference on Computer Systems and Applications (AICCSA), pp. 1\u20136 (2020)","DOI":"10.1109\/AICCSA50499.2020.9316516"},{"key":"32_CR30","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/TETC.2018.2830698","volume":"9","author":"X Kong","year":"2018","unstructured":"Kong, X., Mao, M., Wang, W., Liu, J., Xu, B.: VOPRec: vector representation learning of papers with text information and structural identity for recommendation. IEEE Trans. Emerg. Top. Comput. 9, 226\u2013237 (2018)","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"32_CR31","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":"32_CR32","doi-asserted-by":"crossref","unstructured":"Ganguly, S., Pudi, V.: Paper2vec: combining graph and text information for scientific paper representation. In: European Conference on Information Retrieval, pp. 383\u2013395 (2017)","DOI":"10.1007\/978-3-319-56608-5_30"},{"key":"32_CR33","unstructured":"Ribeiro, L., Saverese, P., Figueiredo, D.: struc2vec: learning node representations from structural identity. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 385\u2013394 (2017)"},{"key":"32_CR34","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, 10229\u201310242 (2022)","journal-title":"Neural Comput. Appl."},{"key":"32_CR35","doi-asserted-by":"crossref","unstructured":"Xia, F., Liu, H., Lee, I., Cao, L.: Scientific article recommendation: exploiting common author relations and historical preferences. Trans. Big Data. 2, 101\u2013112 (2016); 4","DOI":"10.1109\/TBDATA.2016.2555318"},{"key":"32_CR36","first-page":"1","volume":"13","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y., Huang, J., Sun, H., Sun, Y., Qiao, S., Wambura, S.: Recurrent meta-structure for robust similarity measure in heterogeneous information networks. ACM Trans. Knowl. Discov. Data (TKDD) 13, 1\u201333 (2019)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"32_CR37","doi-asserted-by":"crossref","unstructured":"Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text (2019). arXiv:1903.10676","DOI":"10.18653\/v1\/D19-1371"},{"key":"32_CR38","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1007\/s11192-019-03225-6","volume":"121","author":"X Chen","year":"2019","unstructured":"Chen, X., Zhao, H., Zhao, S., Chen, J., Zhang, Y.: Citation recommendation based on citation tendency. Scientometrics 121, 937\u2013956 (2019)","journal-title":"Scientometrics"},{"key":"32_CR39","doi-asserted-by":"publisher","first-page":"9199","DOI":"10.1007\/s11192-021-04161-0","volume":"126","author":"T Qiu","year":"2021","unstructured":"Qiu, T., Yu, C., Zhong, Y., An, L., Li, G.: A scientific citation recommendation model integrating network and text representations. Scientometrics 126, 9199\u20139221 (2021)","journal-title":"Scientometrics"},{"key":"32_CR40","doi-asserted-by":"crossref","unstructured":"Hu, B., Fang, Y., Shi, C.: Adversarial learning on heterogeneous information networks. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 120\u2013129 (2019)","DOI":"10.1145\/3292500.3330970"},{"key":"32_CR41","doi-asserted-by":"crossref","unstructured":"Xie, F., Li, S., Chen, L., Xu, Y., Zheng, Z.: Generative adversarial network based service recommendation in heterogeneous information networks. In: 2019 IEEE International Conference on Web Services (ICWS), pp. 265\u2013272 (2019)","DOI":"10.1109\/ICWS.2019.00053"},{"key":"32_CR42","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yang, L., Cai, X., Dai, H.: A novel personalized citation recommendation approach based on GAN. In: International Symposium on Methodologies for Intelligent Systems, pp. 268\u2013278 (2018)","DOI":"10.1007\/978-3-030-01851-1_26"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47721-8_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T22:14:38Z","timestamp":1706825678000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47721-8_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031477201","9783031477218"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47721-8_32","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}