{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T00:44:11Z","timestamp":1774399451593,"version":"3.50.1"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030810962","type":"print"},{"value":"9783030810979","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-81097-9_11","type":"book-chapter","created":{"date-parts":[[2021,7,19]],"date-time":"2021-07-19T23:04:38Z","timestamp":1626735878000},"page":"137-152","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Searching for Mathematical Formulas Based on Graph Representation Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7510-7812","authenticated-orcid":false,"given":"Yujin","family":"Song","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3061-4276","authenticated-orcid":false,"given":"Xiaoyu","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,20]]},"reference":[{"key":"11_CR1","unstructured":"Aizawa, A., Kohlhase, M., Ounis, I., Schubotz, M.: NTCIR-11 Math-2 task overview. In: Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, pp. 88\u201398. National Institute of Informatics (2014)"},{"key":"11_CR2","series-title":"The Information Retrieval Series","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-981-15-5554-1_12","volume-title":"Evaluating Information Retrieval and Access Tasks","author":"A Aizawa","year":"2021","unstructured":"Aizawa, A., Kohlhase, M.: Mathematical information retrieval. In: Sakai, T., Oard, D.W., Kando, N. (eds.) Evaluating Information Retrieval and Access Tasks. TIRS, vol. 43, pp. 169\u2013185. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-5554-1_12"},{"issue":"8","key":"11_CR3","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798\u20131828 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Chen, H.: Mathematical formula similarity comparing based on tree structure. In: Proceedings of the 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. IEEE (2016)","DOI":"10.1109\/FSKD.2016.7603344"},{"key":"11_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-642-02614-0_23","volume-title":"Intelligent Computer Mathematics","author":"JH Davenport","year":"2009","unstructured":"Davenport, J.H., Kohlhase, M.: Unifying math ontologies: a tale of two standards. In: Carette, J., Dixon, L., Coen, C.S., Watt, S.M. (eds.) CICM 2009. LNCS (LNAI), vol. 5625, pp. 263\u2013278. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02614-0_23"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Davila, K., Zanibbi, R.: Layout and semantics: combining representations for mathematical formula search. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1165\u20131168. Association for Computing Machinery (2017)","DOI":"10.1145\/3077136.3080748"},{"issue":"2","key":"11_CR7","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/362001.362008","volume":"34","author":"M Dewar","year":"2000","unstructured":"Dewar, M.: OpenMath: an overview. SIGSAM Bull. 34(2), 2\u20135 (2000)","journal-title":"SIGSAM Bull."},{"key":"11_CR8","unstructured":"Gao, L., Jiang, Z., Yin, Y., Yuan, K., Yan, Z., Tang, Z.: Preliminary exploration of formula embedding for mathematical information retrieval: Can mathematical formulae be embedded like a natural language? ArXiv abs\/1707.05154 (2017)"},{"issue":"3","key":"11_CR9","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1108\/AJIM-08-2018-0185","volume":"71","author":"A Greiner-Petter","year":"2019","unstructured":"Greiner-Petter, A., Schubotz, M., Cohl, H.S., Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems. Aslib J. Inf. Manag 71(3), 415\u2013439 (2019)","journal-title":"Aslib J. Inf. Manag"},{"issue":"3","key":"11_CR10","doi-asserted-by":"publisher","first-page":"3017","DOI":"10.1007\/s11192-020-03502-9","volume":"125","author":"A Greiner-Petter","year":"2020","unstructured":"Greiner-Petter, A., et al.: Math-word embedding in math search and semantic extraction. Scientometrics 125(3), 3017\u20133046 (2020). https:\/\/doi.org\/10.1007\/s11192-020-03502-9","journal-title":"Scientometrics"},{"key":"11_CR11","unstructured":"Hu, W., et al.: Strategies for pre-training graph neural networks. In: Proceedings of the 8th International Conference on Learning Representations (2020)"},{"issue":"2","key":"11_CR12","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s11786-008-0055-5","volume":"2","author":"M Kohlhase","year":"2008","unstructured":"Kohlhase, M.: Using LaTex as a semantic markup format. Math. Comput. Sci. 2(2), 279\u2013304 (2008)","journal-title":"Math. Comput. Sci."},{"key":"11_CR13","unstructured":"Kristianto, G.Y., Topic, G., Aizawa, A.: MCAT math retrieval system for NTCIR-12 mathir task. In: Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, pp. 323\u2013330. National Institute of Informatics (2016)"},{"key":"11_CR14","unstructured":"Krstovski, K., Blei, D.: Equation embeddings. ArXiv abs\/1803.09123 (2018)"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Mansouri, B., Rohatgi, S., Oard, D.W., Wu, J., Giles, C.L., Zanibbi, R.: Tangent-CFT: an embedding model for mathematical formulas. In: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, pp. 11\u201318. Association for Computing Machinery (2019)","DOI":"10.1145\/3341981.3344235"},{"key":"11_CR16","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of the 1st International Conference on Learning Representations, pp. 1\u201312 (2013)"},{"issue":"1","key":"11_CR17","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1022967814992","volume":"38","author":"BR Miller","year":"2003","unstructured":"Miller, B.R., Youssef, A.: Technical aspects of the digital library of mathematical functions. Ann. Math. Artif. Intell. 38(1), 121\u2013136 (2003)","journal-title":"Ann. Math. Artif. Intell."},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Pathak, A., Pakray, P., Das, R.: LSTM neural network based math information retrieval. In: Proceedings of the 2nd International Conference on Advanced Computational and Communication Paradigms, pp. 1\u20136 (2019)","DOI":"10.1109\/ICACCP.2019.8882887"},{"key":"11_CR19","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-3-642-35455-7_3","volume-title":"Multi-disciplinary Trends in Artificial Intelligence","author":"P Pavan Kumar","year":"2012","unstructured":"Pavan Kumar, P., Agarwal, A., Bhagvati, C.: A structure based approach for mathematical expression retrieval. In: Sombattheera, C., Loi, N.K., Wankar, R., Quan, T. (eds.) MIWAI 2012. LNCS (LNAI), vol. 7694, pp. 23\u201334. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35455-7_3"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Pfahler, L., Morik, K.: Semantic search in millions of equations. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 135\u2013143. Association for Computing Machinery (2020)","DOI":"10.1145\/3394486.3403056"},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Sakai, T.: Alternatives to bpref. In: Proceedings of the 30th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 71\u201378. Association for Computing Machinery (2007)","DOI":"10.1145\/1277741.1277756"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Schubotz, M., Greiner-Petter, A., Scharpf, P., Meuschke, N., Cohl, H.S., Gipp, B.: Improving the representation and conversion of mathematical formulae by considering their textual context. In: Proceedings of the 18th ACM\/IEEE on Joint Conference on Digital Libraries, pp. 233\u2013242. Association for Computing Machinery (2018)","DOI":"10.1145\/3197026.3197058"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Sojka, P., L\u00ed\u0161ka, M.: The art of mathematics retrieval. In: Proceedings of the 11th ACM Symposium on Document Engineering, pp. 57\u201360. Association for Computing Machinery (2011)","DOI":"10.1145\/2034691.2034703"},{"key":"11_CR24","unstructured":"Thanda, A., Agarwal, A., Singla, K., Prakash, A., Gupta, A.: A document retrieval system for math queries. In: Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, pp. 346\u2013353. National Institute of Informatics (2016)"},{"key":"11_CR25","first-page":"7394","volume":"33","author":"M Yasunaga","year":"2019","unstructured":"Yasunaga, M., Lafferty, J.D.: TopicEq: a joint topic and mathematical equation model for scientific texts. Proc. AAAI Conf. Artif. Intell. 33, 7394\u20137401 (2019)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"11_CR26","unstructured":"Zanibbi, R., Aizawa, A., Kohlhase, M., Ounis, I., Topic, G., Davila, K.: NTCIR-12 MathIR task overview. In: Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, pp. 299\u2013308. National Institute of Informatics (2016)"},{"issue":"4","key":"11_CR27","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s10032-011-0174-4","volume":"15","author":"R Zanibbi","year":"2011","unstructured":"Zanibbi, R., Blostein, D.: Recognition and retrieval of mathematical expressions. Int. J. Doc. Anal. Recogn. 15(4), 331\u2013357 (2011)","journal-title":"Int. J. Doc. Anal. Recogn."},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Zanibbi, R., Davila, K., Kane, A., Tompa, F.W.: Multi-stage math formula search: using appearance-based similarity metrics at scale. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 145\u2013154. Association for Computing Machinery (2016)","DOI":"10.1145\/2911451.2911512"},{"key":"11_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-030-58219-7_15","volume-title":"Experimental IR Meets Multilinguality, Multimodality, and Interaction","author":"R Zanibbi","year":"2020","unstructured":"Zanibbi, R., Oard, D.W., Agarwal, A., Mansouri, B.: Overview of ARQMath 2020: CLEF lab on answer retrieval for questions on math. In: Arampatzis, A., et al. (eds.) CLEF 2020. LNCS, vol. 12260, pp. 169\u2013193. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58219-7_15"},{"key":"11_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1007\/978-3-030-45439-5_47","volume-title":"Advances in Information Retrieval","author":"W Zhong","year":"2020","unstructured":"Zhong, W., Rohatgi, S., Wu, J., Giles, C.L., Zanibbi, R.: Accelerating substructure similarity search for formula retrieval. In: Jose, J.M., et al. (eds.) ECIR 2020. LNCS, vol. 12035, pp. 714\u2013727. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-45439-5_47"},{"key":"11_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1007\/978-3-030-15712-8_8","volume-title":"Advances in Information Retrieval","author":"W Zhong","year":"2019","unstructured":"Zhong, W., Zanibbi, R.: Structural similarity search for formulas using leaf-root paths in operator subtrees. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds.) ECIR 2019. LNCS, vol. 11437, pp. 116\u2013129. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-15712-8_8"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computer Mathematics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-81097-9_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,19]],"date-time":"2021-07-19T23:07:09Z","timestamp":1626736029000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-81097-9_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030810962","9783030810979"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-81097-9_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"20 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computer Mathematics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Timisoara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mkm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cicm-conference.org\/2021\/cicm.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}