{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:56:04Z","timestamp":1781538964934,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Natural Science Foundation of China under Grant","award":["62362012"],"award-info":[{"award-number":["62362012"]}]},{"name":"Innovation Project of GUET Graduate Education","award":["108"],"award-info":[{"award-number":["108"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,16]]},"DOI":"10.1145\/3805622.3810682","type":"proceedings-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T14:42:57Z","timestamp":1781534577000},"page":"386-394","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust Graph Matching via Confidence-Guided Distillation and Random Node Masking"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4948-4599","authenticated-orcid":false,"given":"Zhoubo","family":"Xu","sequence":"first","affiliation":[{"name":"Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0609-8024","authenticated-orcid":false,"given":"Zizhao","family":"Pang","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7548-5532","authenticated-orcid":false,"given":"Yu","family":"Meng","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3960-062X","authenticated-orcid":false,"given":"Huijie","family":"Cong","sequence":"additional","affiliation":[{"name":"Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_3_3_1_2_2","first-page":"233","volume-title":"International Conference on Machine Learning","author":"Arpit Devansh","year":"2017","unstructured":"Devansh Arpit, Stanis\u0142aw Jastrz\u0119bski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder\u00a0S Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, et\u00a0al. 2017. A Closer Look at Memorization in Deep Networks. In International Conference on Machine Learning. 233\u2013242."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459303"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.11"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_36"},{"key":"e_1_3_3_1_7_2","volume-title":"Advances in Neural Information Processing Systems","author":"Cour Timoth\u00e9e","year":"2006","unstructured":"Timoth\u00e9e Cour, Praveen Srinivasan, and Jianbo Shi. 2006. Balanced Graph Matching. In Advances in Neural Information Processing Systems , Vol.\u00a019."},{"key":"e_1_3_3_1_8_2","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly Jakob Uszkoreit and Neil Houlsby. 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2010.11929 (2020)."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Mark Everingham Luc Van\u00a0Gool Christopher K.\u00a0I. Williams John Winn and Andrew Zisserman. 2010. The PASCAL Visual Object Classes (VOC) Challenge. International Journal of Computer Vision 88 2 (2010) 303\u2013338.","DOI":"10.1007\/s11263-009-0275-4"},{"key":"e_1_3_3_1_10_2","first-page":"22092","volume-title":"Advances in Neural Information Processing Systems","author":"Feng Wenzheng","year":"2020","unstructured":"Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, and Jie Tang. 2020. Graph Random Neural Networks for Semi-Supervised Learning on Graphs. In Advances in Neural Information Processing Systems , Vol.\u00a033. 22092\u201322103."},{"key":"e_1_3_3_1_11_2","unstructured":"Matthias Fey Jan\u00a0E Lenssen Christopher Morris Jonathan Masci and Nils\u00a0M Kriege. 2020. Deep Graph Matching Consensus. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2001.09621 (2020)."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00097"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00503"},{"key":"e_1_3_3_1_14_2","volume-title":"arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.08141","author":"Guo Jinpei","year":"2023","unstructured":"Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, and Junchi Yan. 2023. Gmtr: Graph matching transformers. In arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.08141."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00726"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_3_1_18_2","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the Knowledge in a Neural Network. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1503.02531 (2015)."},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539321"},{"key":"e_1_3_3_1_20_2","first-page":"29406","volume-title":"Advances in Neural Information Processing Systems","author":"Huang Zhenyu","year":"2021","unstructured":"Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, and Xi Peng. 2021. Learning with Noisy Correspondence for Cross-Modal Matching. In Advances in Neural Information Processing Systems , Vol.\u00a034. 29406\u201329419."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Edwin\u00a0T Jaynes. 1957. Information Theory and Statistical Mechanics. Physical Review 106 4 (1957) 620.","DOI":"10.1103\/PhysRev.106.620"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.20"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Fangkai Li Feiyu Pan Wenjia Meng Haoliang Sun Xiushan Nie Yilong Yin and Xiankai Lu. 2025. Cross-Graph Meta Matching Correction for Noisy Graph Matching. Computer Vision and Image Understanding (2025) 104433.","DOI":"10.1016\/j.cviu.2025.104433"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02135"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20050-2_22"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"David\u00a0G Lowe. 2004. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60 2 (2004) 91\u2013110.","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_3_1_28_2","unstructured":"Juhong Min Jongmin Lee Jean Ponce and Minsu Cho. 2019. SPair-71k: A Large-Scale Benchmark for Semantic Correspondence. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1908.10543 (2019)."},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19812-0_6"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02264"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383172"},{"key":"e_1_3_3_1_33_2","first-page":"8748","volume-title":"International Conference on Machine Learning","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et\u00a0al. 2021. Learning Transferable Visual Models from Natural Language Supervision. In International Conference on Machine Learning. 8748\u20138763."},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01483"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_25"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI62512.2024.00043"},{"key":"e_1_3_3_1_38_2","unstructured":"Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang and Yu Sun. 2020. Masked label prediction: Unified message passing model for semi-supervised classification. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2009.03509 (2020)."},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"Richard Sinkhorn. 1964. A Relationship Between Arbitrary Positive Matrices and Doubly Stochastic Matrices. The Annals of Mathematical Statistics 35 2 (1964) 876\u2013879.","DOI":"10.1214\/aoms\/1177703591"},{"key":"e_1_3_3_1_40_2","volume-title":"Advances in Neural Information Processing Systems","author":"Tarvainen Antti","year":"2017","unstructured":"Antti Tarvainen and Harri Valpola. 2017. Mean Teachers Are Better Role Models: Weight-Averaged Consistency Targets Improve Semi-Supervised Deep Learning Results. In Advances in Neural Information Processing Systems , Vol.\u00a030."},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00315"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Runzhong Wang Junchi Yan and Xiaokang Yang. 2020. Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 45 6 (2020) 6984\u20137000.","DOI":"10.1109\/TPAMI.2020.3005590"},{"key":"e_1_3_3_1_43_2","unstructured":"Runzhong Wang Junchi Yan and Xiaokang Yang. 2021. Neural Graph Matching Network: Learning Lawler\u2019s Quadratic Assignment Problem with Extension to Hypergraph and Multiple-Graph Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 9 (2021) 5261\u20135279."},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00759"},{"key":"e_1_3_3_1_45_2","volume-title":"International Conference on Learning Representations","author":"Xia Xiaobo","year":"2020","unstructured":"Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, and Yi Chang. 2020. Robust Early-Learning: Hindering the Memorization of Noisy Labels. In International Conference on Learning Representations."},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"crossref","unstructured":"Yu Xie Zhiguo Qin Maoguo Gong Bin Yu and Jiye Liang. 2022. Random Deep Graph Matching. IEEE Transactions on Knowledge and Data Engineering 35 10 (2022) 10411\u201310422.","DOI":"10.1109\/TKDE.2022.3221084"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"crossref","unstructured":"Zhoubo Xu Puqing Chen Romain Raveaux Xin Yang and Huadong Liu. 2024. Deep Graph Matching Meets Mixed-Integer Linear Programming: Relax at Your Own Risk? Lecture Notes in Computer Science 155 (2024).","DOI":"10.1016\/j.patcog.2024.110697"},{"key":"e_1_3_3_1_48_2","first-page":"5812","volume-title":"Advances in Neural Information Processing Systems","author":"You Yuning","year":"2020","unstructured":"Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020. Graph Contrastive Learning with Augmentations. In Advances in Neural Information Processing Systems , Vol.\u00a033. 5812\u20135823."},{"key":"e_1_3_3_1_49_2","volume-title":"International conference on learning representations","author":"Yu Tianshu","year":"2019","unstructured":"Tianshu Yu, Runzhong Wang, Junchi Yan, and Baoxin Li. 2019. Learning Deep Graph Matching with Channel-Independent Embedding and Hungarian Attention. In International conference on learning representations."},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00284"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"}],"event":{"name":"ICMR '26: International Conference on Multimedia Retrieval","location":"Amsterdam The Netherlands","acronym":"ICMR '26","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2026 International Conference on Multimedia Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:15:39Z","timestamp":1781536539000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805622.3810682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,15]]},"references-count":51,"alternative-id":["10.1145\/3805622.3810682","10.1145\/3805622"],"URL":"https:\/\/doi.org\/10.1145\/3805622.3810682","relation":{},"subject":[],"published":{"date-parts":[[2026,6,15]]},"assertion":[{"value":"2026-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}