{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T17:23:02Z","timestamp":1786209782976,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072423"],"award-info":[{"award-number":["62072423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548388","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:12Z","timestamp":1665416592000},"page":"3857-3866","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":82,"title":["Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion"],"prefix":"10.1145","author":[{"given":"Derong","family":"Xu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiwei","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingbo","family":"Zhou","sequence":"additional","affiliation":[{"name":"Baidu Research, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.492"},{"key":"e_1_3_2_2_2_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016)."},{"key":"e_1_3_2_2_3_1","volume-title":"Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254","author":"Bao Hangbo","year":"2021","unstructured":"Hangbo Bao , Li Dong , and Furu Wei . 2021 . Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021). Hangbo Bao, Li Dong, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021)."},{"key":"e_1_3_2_2_4_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 ( 2013 ). Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 (2013)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1133"},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Chao Linlin","unstructured":"Linlin Chao , Jianshan He , Taifeng Wang , and Wei Chu . 2021. PairRE: Knowledge Graph Embeddings via Paired Relation Vectors . In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Online , 4360--4369. Linlin Chao, Jianshan He, Taifeng Wang, and Wei Chu. 2021. PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 4360--4369."},{"key":"e_1_3_2_2_7_1","volume-title":"Nicholas Jing Yuan, and Enhong Chen","author":"Chen Liyi","year":"2022","unstructured":"Liyi Chen , Zhi Li , Weidong He , Gong Cheng , Tong Xu , Nicholas Jing Yuan, and Enhong Chen . 2022 . Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Transactions on Neural Networks and Learning Systems ( 2022). Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, and Enhong Chen. 2022. Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Transactions on Neural Networks and Learning Systems (2022)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-55130-8_12"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539244"},{"key":"e_1_3_2_2_10_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_2_11_1","volume-title":"Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018","author":"Garc\u00eda-Dur\u00e1n Alberto","year":"2018","unstructured":"Alberto Garc\u00eda-Dur\u00e1n and Mathias Niepert . 2018 . KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features . In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018 , Monterey, California, USA , August 6-10, 2018, Amir Globerson and Ricardo Silva (Eds.). 372--381. Alberto Garc\u00eda-Dur\u00e1n and Mathias Niepert. 2018. KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. In Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018, Amir Globerson and Ricardo Silva (Eds.). 372--381."},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 249--256","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feedforward neural networks . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 249--256 . Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 249--256."},{"key":"e_1_3_2_2_13_1","volume-title":"Improved training of wasserstein gans. Advances in neural information processing systems 30","author":"Gulrajani Ishaan","year":"2017","unstructured":"Ishaan Gulrajani , Faruk Ahmed , Martin Arjovsky , Vincent Dumoulin , and Aaron C Courville . 2017. Improved training of wasserstein gans. Advances in neural information processing systems 30 ( 2017 ). Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville. 2017. Improved training of wasserstein gans. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_14_1","volume-title":"Statistical theory of extreme values and some practical applications: a series of lectures","author":"Gumbel Emil Julius","unstructured":"Emil Julius Gumbel . 1954. Statistical theory of extreme values and some practical applications: a series of lectures . Vol. 33 . US Government Printing Office . Emil Julius Gumbel. 1954. Statistical theory of extreme values and some practical applications: a series of lectures. Vol. 33. US Government Printing Office."},{"key":"e_1_3_2_2_15_1","volume-title":"Nicholas Jing Yuan, and Tong Xu","author":"He Bin","year":"2020","unstructured":"Bin He , Di Zhou , Jinghui Xiao , Xin Jiang , Qun Liu , Nicholas Jing Yuan, and Tong Xu . 2020 . BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models. In Findings of the Association for Computational Linguistics : EMNLP 2020. 2281--2290. Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, and Tong Xu. 2020. BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models. In Findings of the Association for Computational Linguistics: EMNLP 2020. 2281--2290."},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Drew","unstructured":"Drew A. Hudson and Christopher D. Manning. 2019. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Drew A. Hudson and Christopher D. Manning. 2019. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_17_1","volume-title":"5th International Conference on Learning Representations, ICLR","author":"Jang Eric","year":"2017","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole . 2017. Categorical Reparameterization with Gumbel-Softmax . In 5th International Conference on Learning Representations, ICLR 2017 , Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview .net. https:\/\/openreview.net\/forum?id=rkE3y85ee Eric Jang, Shixiang Gu, and Ben Poole. 2017. Categorical Reparameterization with Gumbel-Softmax. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=rkE3y85ee"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_2_19_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In The third International Conference on Learning Representations, Yoshua Bengio and Yann LeCun (Eds .). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In The third International Conference on Learning Representations, Yoshua Bengio and Yann LeCun (Eds.)."},{"key":"e_1_3_2_2_20_1","volume-title":"Analysis of the impact of negative sampling on link prediction in knowledge graphs. arXiv preprint arXiv:1708.06816","author":"Kotnis Bhushan","year":"2017","unstructured":"Bhushan Kotnis and Vivi Nastase . 2017. Analysis of the impact of negative sampling on link prediction in knowledge graphs. arXiv preprint arXiv:1708.06816 ( 2017 ). Bhushan Kotnis and Vivi Nastase. 2017. Analysis of the impact of negative sampling on link prediction in knowledge graphs. arXiv preprint arXiv:1708.06816 (2017)."},{"key":"e_1_3_2_2_21_1","volume-title":"S\u00f6ren Auer, et al.","author":"Lehmann Jens","year":"2015","unstructured":"Jens Lehmann , Robert Isele , Max Jakob , Anja Jentzsch , Dimitris Kontokostas , Pablo N Mendes , Sebastian Hellmann , Mohamed Morsey , Patrick Van Kleef , S\u00f6ren Auer, et al. 2015 . Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semantic web 6, 2 (2015), 167--195. Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, S\u00f6ren Auer, et al. 2015. Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semantic web 6, 2 (2015), 167--195."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449859"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21348-0_30"},{"key":"e_1_3_2_2_25_1","volume-title":"The concrete distribution: A continuous relaxation of discrete random variables. arXiv preprint arXiv:1611.00712","author":"Maddison Chris J","year":"2016","unstructured":"Chris J Maddison , Andriy Mnih , and Yee Whye Teh . 2016. The concrete distribution: A continuous relaxation of discrete random variables. arXiv preprint arXiv:1611.00712 ( 2016 ). Chris J Maddison, Andriy Mnih, and Yee Whye Teh. 2016. The concrete distribution: A continuous relaxation of discrete random variables. arXiv preprint arXiv:1611.00712 (2016)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1186"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2027"},{"key":"e_1_3_2_2_28_1","unstructured":"Maximilian Nickel Volker Tresp and Hans-Peter Kriegel. 2011. A three-way model for collective learning on multi-relational data. In Icml.  Maximilian Nickel Volker Tresp and Hans-Peter Kriegel. 2011. A three-way model for collective learning on multi-relational data. In Icml."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1359"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411947"},{"key":"e_1_3_2_2_32_1","volume-title":"International Conference on Learning Representations.","author":"Sun Zhiqing","year":"2018","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2018 . RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space . In International Conference on Learning Representations. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2018. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407828"},{"key":"e_1_3_2_2_34_1","volume-title":"Policy gradient methods for reinforcement learning with function approximation. Advances in neural information processing systems 12","author":"Sutton Richard S","year":"1999","unstructured":"Richard S Sutton , David McAllester , Satinder Singh , and Yishay Mansour . 1999. Policy gradient methods for reinforcement learning with function approximation. Advances in neural information processing systems 12 ( 1999 ). Richard S Sutton, David McAllester, Satinder Singh, and Yishay Mansour. 1999. Policy gradient methods for reinforcement learning with function approximation. Advances in neural information processing systems 12 (1999)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.241"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107217"},{"key":"e_1_3_2_2_37_1","volume-title":"International conference on machine learning. 2071--2080","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9ric Gaussier , and Guillaume Bouchard . 2016 . Complex embeddings for simple link prediction . In International conference on machine learning. 2071--2080 . Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International conference on machine learning. 2071--2080."},{"key":"e_1_3_2_2_38_1","volume-title":"Richpedia: A Comprehensive Multi-Modal Knowledge Graph. In Semantic Technology: 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings","author":"Wang Meng","year":"2019","unstructured":"Meng Wang , Guilin Qi , HaoFen Wang , and Qiushuo Zheng . 2019 . Richpedia: A Comprehensive Multi-Modal Knowledge Graph. In Semantic Technology: 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings ( Hangzhou, China). Springer-Verlag, Berlin, Heidelberg, 130--145. https:\/\/doi.org\/10.1007\/978-3-030-41407-8_9 Meng Wang, Guilin Qi, HaoFen Wang, and Qiushuo Zheng. 2019. Richpedia: A Comprehensive Multi-Modal Knowledge Graph. In Semantic Technology: 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings (Hangzhou, China). Springer-Verlag, Berlin, Heidelberg, 130--145. https:\/\/doi.org\/10.1007\/978-3-030-41407-8_9"},{"key":"e_1_3_2_2_39_1","volume-title":"Proceedings of the 29th ACM International Conference on Multimedia. 2735--2743","author":"Yang Han","year":"2021","unstructured":"MengWang, SenWang, Han Yang , Zheng Zhang , Xi Chen , and Guilin Qi . 2021 . Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective . In Proceedings of the 29th ACM International Conference on Multimedia. 2735--2743 . MengWang, SenWang, Han Yang, Zheng Zhang, Xi Chen, and Guilin Qi. 2021. Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective. In Proceedings of the 29th ACM International Conference on Multimedia. 2735--2743."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11536"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852079"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence. 3140--3146","author":"Xie Ruobing","year":"2017","unstructured":"Ruobing Xie , Zhiyuan Liu , Huanbo Luan , and Maosong Sun . 2017 . Imageembodied knowledge representation learning . In Proceedings of the 26th International Joint Conference on Artificial Intelligence. 3140--3146 . Ruobing Xie, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2017. Imageembodied knowledge representation learning. In Proceedings of the 26th International Joint Conference on Artificial Intelligence. 3140--3146."},{"key":"e_1_3_2_2_45_1","volume-title":"Empirical evaluation of rectified activations in convolutional network. arXiv preprint arXiv:1505.00853","author":"Xu Bing","year":"2015","unstructured":"Bing Xu , Naiyan Wang , Tianqi Chen , and Mu Li. 2015. Empirical evaluation of rectified activations in convolutional network. arXiv preprint arXiv:1505.00853 ( 2015 ). Bing Xu, Naiyan Wang, Tianqi Chen, and Mu Li. 2015. Empirical evaluation of rectified activations in convolutional network. arXiv preprint arXiv:1505.00853 (2015)."},{"key":"e_1_3_2_2_46_1","unstructured":"Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In The third International Conference on Learning Representations.  Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In The third International Conference on Learning Representations."},{"key":"e_1_3_2_2_47_1","volume-title":"Proceedings of the 28th ACM International Conference on Multimedia. 3956--3965","author":"Zhang Yingying","year":"2020","unstructured":"Yingying Zhang , Quan Fang , Shengsheng Qian , and Changsheng Xu . 2020 . Multimodal multi-relational feature aggregation network for medical knowledge representation learning . In Proceedings of the 28th ACM International Conference on Multimedia. 3956--3965 . Yingying Zhang, Quan Fang, Shengsheng Qian, and Changsheng Xu. 2020. Multimodal multi-relational feature aggregation network for medical knowledge representation learning. In Proceedings of the 28th ACM International Conference on Multimedia. 3956--3965."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00061"},{"key":"e_1_3_2_2_49_1","volume-title":"Multi-Modal Knowledge Graph Construction and Application: A Survey. arXiv preprint arXiv:2202.05786","author":"Zhu Xiangru","year":"2022","unstructured":"Xiangru Zhu , Zhixu Li , Xiaodan Wang , Xueyao Jiang , Penglei Sun , Xuwu Wang , Yanghua Xiao , and Nicholas Jing Yuan . 2022. Multi-Modal Knowledge Graph Construction and Application: A Survey. arXiv preprint arXiv:2202.05786 ( 2022 ). Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, and Nicholas Jing Yuan. 2022. Multi-Modal Knowledge Graph Construction and Application: A Survey. arXiv preprint arXiv:2202.05786 (2022)."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548388","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:44Z","timestamp":1750186844000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548388"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":49,"alternative-id":["10.1145\/3503161.3548388","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548388","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}