{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T08:01:21Z","timestamp":1769760081110,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":63,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475586","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T20:00:05Z","timestamp":1634587205000},"page":"3710-3719","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings"],"prefix":"10.1145","author":[{"given":"Athanasios","family":"Efthymiou","sequence":"first","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]},{"given":"Stevan","family":"Rudinac","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]},{"given":"Monika","family":"Kackovic","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]},{"given":"Marcel","family":"Worring","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]},{"given":"Nachoem","family":"Wijnberg","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350572"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.05.036"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159731"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.026"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921101"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.11.008"},{"key":"e_1_3_2_2_8_1","volume-title":"Understanding and Creating Art with AI: Review and Outlook. arXiv preprint arXiv:2102.09109","author":"Cetinic Eva","year":"2021","unstructured":"Eva Cetinic and James She . 2021. Understanding and Creating Art with AI: Review and Outlook. arXiv preprint arXiv:2102.09109 ( 2021 ). Eva Cetinic and James She. 2021. Understanding and Creating Art with AI: Review and Outlook. arXiv preprint arXiv:2102.09109 (2021)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/3046058"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350977"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00532"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.38"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.  J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_15_1","volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Elgammal Ahmed","year":"2018","unstructured":"Ahmed Elgammal , Bingchen Liu , Diana Kim , Mohamed Elhoseiny , and Marian Mazzone . 2018 . The shape of art history in the eyes of the machine . In Thirty-Second AAAI Conference on Artificial Intelligence. Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, and Marian Mazzone. 2018. The shape of art history in the eyes of the machine. In Thirty-Second AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_16_1","volume-title":"Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds.","author":"Fey Matthias","unstructured":"Matthias Fey and Jan E. Lenssen . 2019 . Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds. Matthias Fey and Jan E. Lenssen. 2019. Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325028"},{"key":"e_1_3_2_2_18_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0--0.","author":"Garcia Noa","year":"2018","unstructured":"Noa Garcia and George Vogiatzis . 2018 . How to read paintings: semantic art understanding with multi-modal retrieval . In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0--0. Noa Garcia and George Vogiatzis. 2018. How to read paintings: semantic art understanding with multi-modal retrieval. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0--0."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops.","author":"Gonthier Nicolas","year":"2018","unstructured":"Nicolas Gonthier , Yann Gousseau , Said Ladjal , and Olivier Bonfait . 2018 . Weakly Supervised Object Detection in Artworks . In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. Nicolas Gonthier, Yann Gousseau, Said Ladjal, and Olivier Bonfait. 2018. Weakly Supervised Object Detection in Artworks. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206681"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_25_1","volume-title":"Neural style transfer: A review","author":"Jing Yongcheng","year":"2019","unstructured":"Yongcheng Jing , Yezhou Yang , Zunlei Feng , Jingwen Ye , Yizhou Yu , and Mingli Song . 2019. Neural style transfer: A review . IEEE transactions on visualization and computer graphics ( 2019 ). Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song. 2019. Neural style transfer: A review. IEEE transactions on visualization and computer graphics (2019)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-014-0621-6"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_31"},{"key":"e_1_3_2_2_28_1","volume-title":"2018 IEEE 12th International Conference on Semantic Computing (ICSC). IEEE, 156--163","author":"Kim Diana S","unstructured":"Diana S Kim , Bingchen Liu , Ahmed Elgammal , and Marian Mazzone . [n.d.]. Finding principal semantics of style in art . In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). IEEE, 156--163 . Diana S Kim, Bingchen Liu, Ahmed Elgammal, and Marian Mazzone. [n.d.]. Finding principal semantics of style in art. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). IEEE, 156--163."},{"key":"e_1_3_2_2_29_1","volume-title":"Finding Principal Semantics of Style in Art. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). 156--163","author":"Kim D. S.","unstructured":"D. S. Kim , B. Liu , A. Elgammal , and M. Mazzone . 2018 . Finding Principal Semantics of Style in Art. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). 156--163 . D. S. Kim, B. Liu, A. Elgammal, and M. Mazzone. 2018. Finding Principal Semantics of Style in Art. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC). 156--163."},{"key":"e_1_3_2_2_30_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization. http:\/\/arxiv.org\/abs\/1412.6980 cite arxiv:1412.6980Comment: Published as a conference paper at the 3rd International Conference for Learning Representations, San Diego , 2015. Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. http:\/\/arxiv.org\/abs\/1412.6980 cite arxiv:1412.6980Comment: Published as a conference paper at the 3rd International Conference for Learning Representations, San Diego, 2015."},{"key":"e_1_3_2_2_31_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations (ICLR).","author":"Thomas","unstructured":"Thomas N. Kipf and Max Welling. 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations (ICLR). Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.579"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00124"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3347317.3357242"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123405"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578791"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00554"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"e_1_3_2_2_41_1","volume-title":"SIGN: Scalable Inception Graph Neural Networks. CoRR","author":"Rossi Emanuele","year":"2020","unstructured":"Emanuele Rossi , Fabrizio Frasca , Ben Chamberlain , Davide Eynard , Michael M. Bronstein , and Federico Monti . 2020 . SIGN: Scalable Inception Graph Neural Networks. CoRR , Vol. abs\/ 2004 .11198 (2020). https:\/\/arxiv.org\/abs\/2004.11198 Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, and Federico Monti. 2020. SIGN: Scalable Inception Graph Neural Networks. CoRR, Vol. abs\/2004.11198 (2020). https:\/\/arxiv.org\/abs\/2004.11198"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00950"},{"key":"e_1_3_2_2_43_1","volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations.","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew ZisFserman . 2015 . Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations. Karen Simonyan and Andrew ZisFserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","volume":"9132","author":"Standley Trevor","year":"2020","unstructured":"Trevor Standley , Amir Roshan Zamir , Dawn Chen , Leonidas J. Guibas , Jitendra Malik , and Silvio Savarese . 2020 . Which Tasks Should Be Learned Together in Multi-task Learning? . In Proceedings of the 37th International Conference on Machine Learning, ICML 2020 , 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research , Vol. 119). PMLR, 9120-- 9132 . http:\/\/proceedings.mlr.press\/v119\/standley20a.html Trevor Standley, Amir Roshan Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, and Silvio Savarese. 2020. Which Tasks Should Be Learned Together in Multi-task Learning?. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 9120--9132. http:\/\/proceedings.mlr.press\/v119\/standley20a.html"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30645-8_66"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3241389"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350588"},{"key":"e_1_3_2_2_48_1","volume-title":"Omniart: multi-task deep learning for artistic data analysis. arXiv preprint arXiv:1708.00684","author":"Strezoski Gjorgji","year":"2017","unstructured":"Gjorgji Strezoski and Marcel Worring . 2017. Omniart: multi-task deep learning for artistic data analysis. arXiv preprint arXiv:1708.00684 ( 2017 ). Gjorgji Strezoski and Marcel Worring. 2017. Omniart: multi-task deep learning for artistic data analysis. arXiv preprint arXiv:1708.00684 (2017)."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3273022"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533051"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054719"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.251"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"e_1_3_2_2_54_1","volume-title":"Visual Art Encyclopedia. https:\/\/www.wikiart.org\/","unstructured":"WikiArt. [n.d.]. Visual Art Encyclopedia. https:\/\/www.wikiart.org\/ WikiArt. [n.d.]. Visual Art Encyclopedia. https:\/\/www.wikiart.org\/"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.136"},{"key":"e_1_3_2_2_56_1","unstructured":"Heinrich W\u00f6lfflin. 1915. Principles of art history.  Heinrich W\u00f6lfflin. 1915. Principles of art history."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305890.3306072"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_39"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.53"},{"key":"e_1_3_2_2_60_1","volume-title":"GraphSAINT: Graph Sampling Based Inductive Learning Method. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BJe8pkHFwS","author":"Zeng Hanqing","year":"2020","unstructured":"Hanqing Zeng , Hongkuan Zhou , Ajitesh Srivastava , Rajgopal Kannan , and Viktor Prasanna . 2020 . GraphSAINT: Graph Sampling Based Inductive Learning Method. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BJe8pkHFwS Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, and Viktor Prasanna. 2020. GraphSAINT: Graph Sampling Based Inductive Learning Method. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BJe8pkHFwS"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0248414"},{"key":"e_1_3_2_2_63_1","volume-title":"Sensors","volume":"21","author":"Zhao Wentao","year":"2021","unstructured":"Wentao Zhao , Dalin Zhou , Xinguo Qiu , and Wei Jiang . 2021 b. How to Represent Paintings: A Painting Classification Using Artistic Comments . Sensors , Vol. 21 , 6 (2021). https:\/\/doi.org\/10.3390\/s21061940 10.3390\/s21061940 Wentao Zhao, Dalin Zhou, Xinguo Qiu, and Wei Jiang. 2021 b. How to Represent Paintings: A Painting Classification Using Artistic Comments. Sensors, Vol. 21, 6 (2021). https:\/\/doi.org\/10.3390\/s21061940"}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475586","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475586","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:11Z","timestamp":1750193351000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":63,"alternative-id":["10.1145\/3474085.3475586","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475586","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}