{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:10:10Z","timestamp":1755843010582,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"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":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657687","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"1629-1638","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Bootstrap Deep Metric for Seed Expansion in Attributed Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3569-6998","authenticated-orcid":false,"given":"Chunquan","family":"Liang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4478-3018","authenticated-orcid":false,"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7228-6353","authenticated-orcid":false,"given":"Qiankun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2191-9314","authenticated-orcid":false,"given":"Xinyuan","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8944-0682","authenticated-orcid":false,"given":"Luyue","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2962-8945","authenticated-orcid":false,"given":"Mei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4605-8577","authenticated-orcid":false,"given":"Hongming","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Northwest A&amp;F University, Yangling, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1007\/s00607-021-00948-4"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1088\/1742-5468\/2008\/05\/P05001"},{"key":"e_1_3_2_1_3_1","volume-title":"Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. In IEEE Information Theory Workshop. 1--6.","author":"Chien Eli","year":"2021","unstructured":"Eli Chien, Pan Li, and Olgica Milenkovic. 2021. Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. In IEEE Information Theory Workshop. 1--6."},{"volume-title":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 539--546","author":"Chopra S.","unstructured":"S. Chopra, R. Hadsell, and Y. Lecun. 2005. Learning a similarity metric discriminatively, with application to face verification. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 539--546.","key":"e_1_3_2_1_4_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1007\/978-3-540-95995-3_6"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1103\/PhysRevE.72.026132"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1145\/3184558.3191570"},{"key":"e_1_3_2_1_8_1","first-page":"1109","article-title":"Large Scale Online Learning of Image Similarity Through Ranking","volume":"11","author":"Gal Chechik","year":"2010","unstructured":"Chechik Gal, Sharma Varun, Shalit Uri, and Bengio Samy. 2010. Large Scale Online Learning of Image Similarity Through Ranking. The Journal of Machine Learning Research , Vol. 11 (2010), 1109--1135.","journal-title":"The Journal of Machine Learning Research"},{"volume-title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. 3364--3370","author":"Gao Hongchang","unstructured":"Hongchang Gao and Heng Huang. [n.d.]. Deep Attributed Network Embedding. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. 3364--3370.","key":"e_1_3_2_1_9_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.24963\/ijcai.2018\/467"},{"key":"e_1_3_2_1_11_1","volume-title":"lek AKolcz, and Kurt Smith","author":"Goyal Amit","year":"2014","unstructured":"Amit Goyal, Stuart Anderson, Praveen Bommannavar, lek AKolcz, and Kurt Smith. 2014. Detecting User Interests on Twitter via Seed Set Expansion. https:\/\/api.semanticscholar.org\/CorpusID:14880350"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.5555\/3495724.3497510"},{"key":"e_1_3_2_1_13_1","volume-title":"Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. In International Conference on Machine Learning.","author":"Guo Daniel","year":"2020","unstructured":"Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean Bastien Grill, Florent Altch\u00e9, R\u00e9mi Munos, and Mohammad Gheshlaghi Azar. 2020. Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. In International Conference on Machine Learning."},{"volume-title":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1735--1742","author":"Hadsell R.","unstructured":"R. Hadsell, S. Chopra, and Y. Lecun. 2006. Dimensionality Reduction by Learning an Invariant Mapping. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1735--1742.","key":"e_1_3_2_1_14_1"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information. 155--162","author":"He Zhao","year":"2018","unstructured":"Zhao He, Feng Chong, Luo Zhunchen, and Tian Changhai. 2018. Entity Set Expansion from Twitter. In Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information. 155--162."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1109\/ICASSP.2016.7471631"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1145\/3469096.3475060"},{"key":"e_1_3_2_1_18_1","volume-title":"International Conference on Learning Representations.","author":"Kipf Thomas N","year":"2017","unstructured":"Thomas N Kipf and Max Welling. 2017. Semi-supervised classification with graph convolutional networks. In International Conference on Learning Representations."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1145\/2623330.2623621"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.5555\/3454287.3455337"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/TKDE.2018.2819980"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1109\/TKDE.2022.3172903"},{"doi-asserted-by":"crossref","unstructured":"Feng Luo James Z. Wang and Eric Promislow. 2006. Exploring local community structures in large networks. (2006) 233--239.","key":"e_1_3_2_1_23_1","DOI":"10.1109\/WI.2006.72"},{"key":"e_1_3_2_1_24_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research , Vol. 9 (2008), 2579--2605.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_25_1","volume-title":"Expanding network communities from representative examples. ACM Transactions on Knowledge Discovery from Data","author":"Mehler Andrew","year":"2009","unstructured":"Andrew Mehler and Steven Skiena. 2009. Expanding network communities from representative examples. ACM Transactions on Knowledge Discovery from Data , Vol. 3 (2009), 1--27."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1145\/1718487.1718519"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1109\/ICCV.2017.47"},{"key":"e_1_3_2_1_28_1","volume-title":"FaceNet: A Unified Embedding for Face Recognition and Clustering. In IEEE Conference on Computer Vision and Pattern Recognition. 815--823","author":"Schroff Florian","year":"2015","unstructured":"Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. FaceNet: A Unified Embedding for Face Recognition and Clustering. In IEEE Conference on Computer Vision and Pattern Recognition. 815--823."},{"unstructured":"Kihyuk Sohn. 2016. Improved deep metric learning with multi-class N-pair loss objective. In Neural Information Processing Systems.","key":"e_1_3_2_1_29_1"},{"key":"e_1_3_2_1_30_1","first-page":"241","article-title":"Anti-Trust Rank for Detection of Web Spam and Seed Set Expansion","volume":"3","author":"Srivastava Ankit","year":"2013","unstructured":"Ankit Srivastava and Baisakhi Chakraborty. 2013. Anti-Trust Rank for Detection of Web Spam and Seed Set Expansion. International Journal of Information and Computation Technology, Vol. 3, 4 (2013), 241--250.","journal-title":"International Journal of Information and Computation Technology"},{"key":"e_1_3_2_1_31_1","volume-title":"International Conference on Learning Representations.","author":"Thakoor Shantanu","year":"2021","unstructured":"Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, R\u00e9mi Munos, Petar Velivc kovi\u0107, and Michal Valko. 2021. Large-scale representation learning on graphs via bootstrapping. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_32_1","volume-title":"International Conference on Learning Representations.","author":"Petar Velivc","year":"2018","unstructured":"Petar Velivc kovi\u0107 , Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2018. Graph attention networks. In International Conference on Learning Representations."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1145\/2939672.2939753"},{"key":"e_1_3_2_1_34_1","volume-title":"Learning Fine-Grained Image Similarity with Deep Ranking. In IEEE Conference on Computer Vision and Pattern Recognition. 1386--1393","author":"Wang Jiang","year":"2014","unstructured":"Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, and Ying Wu. 2014. Learning Fine-Grained Image Similarity with Deep Ranking. In IEEE Conference on Computer Vision and Pattern Recognition. 1386--1393."},{"key":"e_1_3_2_1_35_1","volume-title":"Deep Metric Learning with Angular Loss. In IEEE International Conference on Computer Vision. 2612--2620","author":"Wang Jian","year":"2017","unstructured":"Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, and Yuanqing Lin. 2017. Deep Metric Learning with Angular Loss. In IEEE International Conference on Computer Vision. 2612--2620."},{"key":"e_1_3_2_1_36_1","volume-title":"International Conference on Machine Learning.","author":"Wang Tongzhou","year":"2020","unstructured":"Tongzhou Wang and Phillip Isola. 2020. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. In International Conference on Machine Learning."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1145\/3409736"},{"key":"e_1_3_2_1_38_1","first-page":"5414","article-title":"Ranked List Loss for Deep Metric Learning","volume":"44","author":"Wang Xinshao","year":"2022","unstructured":"Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, and Neil M. Robertson. 2022. Ranked List Loss for Deep Metric Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 44 (2022), 5414--5429.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_39_1","DOI":"10.5555\/1577069.1577078"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_40_1","DOI":"10.1007\/978-3-319-46478-7_31"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_41_1","DOI":"10.1109\/TKDE.2016.2518687"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_42_1","DOI":"10.1109\/TKDE.2021.3131584"},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing. 5812--5823","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 Proceedings of the 34th International Conference on Neural Information Processing. 5812--5823."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_44_1","DOI":"10.1145\/3077136.3080732"},{"doi-asserted-by":"crossref","unstructured":"Xianchao Zhang Bo Han and Wenxin Liang. 2009. Automatic seed set expansion for trust propagation based anti-spamming algorithms. In Web Information and Data Management. 31--38.","key":"e_1_3_2_1_45_1","DOI":"10.1145\/1651587.1651596"},{"key":"e_1_3_2_1_46_1","volume-title":"Embedding Label Structures for Fine-Grained Feature Representation. In IEEE Conference on Computer Vision and Pattern Recognition. 1114--1123","author":"Zhang Xiaofan","year":"2016","unstructured":"Xiaofan Zhang, Feng Zhou, Yuanqing Lin, and Shaoting Zhang. 2016. Embedding Label Structures for Fine-Grained Feature Representation. In IEEE Conference on Computer Vision and Pattern Recognition. 1114--1123."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_47_1","DOI":"10.1016\/j.knosys.2019.05.010"}],"event":{"sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"acronym":"SIGIR 2024","name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Washington DC USA"},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657687","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657687","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:43:39Z","timestamp":1755841419000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657687"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":47,"alternative-id":["10.1145\/3626772.3657687","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657687","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}