{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T12:26:28Z","timestamp":1762431988698,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030687861"},{"type":"electronic","value":"9783030687878"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-68787-8_3","type":"book-chapter","created":{"date-parts":[[2021,2,20]],"date-time":"2021-02-20T17:55:55Z","timestamp":1613843755000},"page":"39-53","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Using Graph Neural Networks to Reconstruct Ancient Documents"],"prefix":"10.1007","author":[{"given":"Cecilia","family":"Ostertag","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie","family":"Beurton-Aimar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,21]]},"reference":[{"key":"3_CR1","unstructured":"Papyrology Collection. https:\/\/www.lib.umich.edu\/collections\/collecting-areas\/special-collections-and-archives\/papyrology-collection"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Brodersen, K.H., Ong, C.S., Stephan, K.E., Buhmann, J.M.: The balanced accuracy and its posterior distribution. In: 2010 20th International Conference on Pattern Recognition, pp. 3121\u20133124. IEEE (2010)","DOI":"10.1109\/ICPR.2010.764"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Cho, T.S., Avidan, S., Freeman, W.T.: A probabilistic image jigsaw puzzle solver. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 183\u2013190. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540212"},{"key":"3_CR4","unstructured":"Fey, M., Lenssen, J.E.: Fast graph representation learning with PyTorch Geometric. In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019)"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Franz, M., Lopes, C.T., Huck, G., Dong, Y., Sumer, O., Bader, G.D.: Cytoscape.js: a graph theory library for visualisation and analysis. Bioinformatics 32(2), 309\u2013311 (2016)","DOI":"10.1093\/bioinformatics\/btv557"},{"key":"3_CR6","unstructured":"Jin, S.Y., Lee, S., Azis, N.A., Choi, H.J.: Jigsaw puzzle image retrieval via pairwise compatibility measurement. In: 2014 International Conference on Big Data and Smart Computing (BIGCOMP), pp. 123\u2013127. IEEE (2014)"},{"key":"3_CR7","unstructured":"Kelleher, J.D., Mac Namee, B., D\u2019arcy, A.: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies. MIT Press, Cambridge (2020)"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Kleber, F., Sablatnig, R.: A survey of techniques for document and archaeology artefact reconstruction. In: 2009 10th International Conference on Document Analysis and Recognition, pp. 1061\u20131065. IEEE (2009)","DOI":"10.1109\/ICDAR.2009.154"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Mondal, D., Wang, Y., Durocher, S.: Robust solvers for square jigsaw puzzles. In: 2013 International Conference on Computer and Robot Vision, pp. 249\u2013256. IEEE (2013)","DOI":"10.1109\/CRV.2013.54"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.patrec.2020.01.012","volume":"131","author":"C Ostertag","year":"2020","unstructured":"Ostertag, C., Beurton-Aimar, M.: Matching ostraca fragments using a Siamese neural network. Pattern Recogn. Lett. 131, 336\u2013340 (2020)","journal-title":"Pattern Recogn. Lett."},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Paikin, G., Tal, A.: Solving multiple square jigsaw puzzles with missing pieces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4832\u20134839 (2015)","DOI":"10.1109\/CVPR.2015.7299116"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Paumard, M.M., Picard, D., Tabia, H.: Jigsaw puzzle solving using local feature co-occurrences in deep neural networks. In: 2018 25th IEEE International Conference on Image Processing (ICIP), pp. 1018\u20131022. IEEE (2018)","DOI":"10.1109\/ICIP.2018.8451094"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Pirrone, A., Aimar, M.B., Journet, N.: Papy-S-Net: a Siamese network to match papyrus fragments. In: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, pp. 78\u201383 (2019)","DOI":"10.1145\/3352631.3352646"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Rasheed, N.A., Nordin, M.J.: A survey of classification and reconstruction methods for the 2D archaeological objects. In: 2015 International Symposium on Technology Management and Emerging Technologies (ISTMET), pp. 142\u2013147. IEEE (2015)","DOI":"10.1109\/ISTMET.2015.7359018"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Wadhwani, M., Kundu, D., Chakraborty, D., Chanda, B.: Text extraction and restoration of old handwritten documents. arXiv preprint arXiv:2001.08742 (2020)","DOI":"10.1007\/978-3-030-57907-4_6"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TNNLS.2020.2978386","volume":"32","author":"Z Wu","year":"2020","unstructured":"Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., Philip, S.Y.: A comprehensive survey on graph neural networks. IEEE Trans. Neural Netw. Learn. Syst. 32, 4\u201324 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68787-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T16:01:49Z","timestamp":1697904109000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-68787-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030687861","9783030687878"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68787-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"21 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 January 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ICPR2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icpr2020.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}