{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T19:31:49Z","timestamp":1777059109419,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["62006241"],"award-info":[{"award-number":["62006241"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482469","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T15:31:13Z","timestamp":1636990273000},"page":"720-729","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Rectifying Pseudo Labels"],"prefix":"10.1145","author":[{"given":"Zhihui","family":"Hu","sequence":"first","affiliation":[{"name":"Defense Innovation Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Kou","sequence":"additional","affiliation":[{"name":"Defense Innovation Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Defense Innovation Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Li","sequence":"additional","affiliation":[{"name":"Defense Innovation Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Yang","sequence":"additional","affiliation":[{"name":"Defense Innovation Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Greg Ver Steeg, and Aram Galstyan","author":"Abu-El-Haija Sami","year":"2019","unstructured":"Sami Abu-El-Haija , Bryan Perozzi , Amol Kapoor , Nazanin Alipourfard , Kristina Lerman , Hrayr Harutyunyan , Greg Ver Steeg, and Aram Galstyan . 2019 . MixHop: Higher- Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. In ICML. 21--29. Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. In ICML. 21--29."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00453-012-9717-4"},{"key":"e_1_3_2_2_3_1","unstructured":"Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral Networks and Locally Connected Networks on Graphs. In ICLR.  Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral Networks and Locally Connected Networks on Graphs. In ICLR."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Mathilde Caron Piotr Bojanowski Armand Joulin and Matthijs Douze. 2018. Deep Clustering for Unsupervised Learning of Visual Features. In ECCV. 139--156.  Mathilde Caron Piotr Bojanowski Armand Joulin and Matthijs Douze. 2018. Deep Clustering for Unsupervised Learning of Visual Features. In ECCV. 139--156.","DOI":"10.1007\/978-3-030-01264-9_9"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Qian Chen Xiaodan Zhu Zhen-Hua Ling Si Wei Hui Jiang and Diana Inkpen. 2017. Enhanced LSTM for Natural Language Inference. In ACL. 1657--1668.  Qian Chen Xiaodan Zhu Zhen-Hua Ling Si Wei Hui Jiang and Diana Inkpen. 2017. Enhanced LSTM for Natural Language Inference. In ACL. 1657--1668.","DOI":"10.18653\/v1\/P17-1152"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157527"},{"key":"e_1_3_2_2_7_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186."},{"key":"e_1_3_2_2_8_1","unstructured":"Luca Franceschi Mathias Niepert Massimiliano Pontil and Xiao He. 2019. Learning Discrete Structures for Graph Neural Networks. In ICML. 1972--1982.  Luca Franceschi Mathias Niepert Massimiliano Pontil and Xiao He. 2019. Learning Discrete Structures for Graph Neural Networks. In ICML. 1972--1982."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_2_10_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770--778.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770--778."},{"key":"e_1_3_2_2_11_1","unstructured":"R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler and Yoshua Bengio. 2019. Learning deep representations by mutual information estimation and maximization. In ICLR.  R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler and Yoshua Bengio. 2019. Learning deep representations by mutual information estimation and maximization. In ICLR."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401072"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou and Shirui Pan. 2021. Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. In IJCAI. 1477--1483.  Ming Jin Yizhen Zheng Yuan-Fang Li Chen Gong Chuan Zhou and Shirui Pan. 2021. Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. In IJCAI. 1477--1483.","DOI":"10.24963\/ijcai.2021\/204"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327546.3327685"},{"key":"e_1_3_2_2_16_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_2_18_1","volume-title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In ICLR.","author":"Lan Zhenzhong","year":"2020","unstructured":"Zhenzhong Lan , Mingda Chen , Sebastian Goodman , Kevin Gimpel , Piyush Sharma , and Radu Soricut . 2020 . ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In ICLR. Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In ICLR."},{"key":"e_1_3_2_2_19_1","volume-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. In ICML.","author":"Lee Dong-Hyun","year":"2013","unstructured":"Dong-Hyun Lee . 2013 . Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. In ICML. Dong-Hyun Lee. 2013. Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. In ICML."},{"key":"e_1_3_2_2_20_1","unstructured":"Qimai Li Zhichao Han and Xiao-Ming Wu. 2018. Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. In AAAI. 3538--3545.  Qimai Li Zhichao Han and Xiao-Ming Wu. 2018. Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. In AAAI. 3538--3545."},{"key":"e_1_3_2_2_21_1","volume-title":"Self-supervised Learning: Generative or Contrastive. CoRR","author":"Liu Xiao","year":"2020","unstructured":"Xiao Liu , Fanjin Zhang , Zhenyu Hou , Zhaoyu Wang , Li Mian , Jing Zhang , and Jie Tang . 2020 . Self-supervised Learning: Generative or Contrastive. CoRR , Vol. abs\/ 2006 .08218 (2020). Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, and Jie Tang. 2020. Self-supervised Learning: Generative or Contrastive. CoRR, Vol. abs\/2006.08218 (2020)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Sina Mohseni Mandar Pitale J. B. S. Yadawa and Zhangyang Wang. 2020. Self-Supervised Learning for Generalizable Out-of-Distribution Detection. In AAAI. 5216--5223.  Sina Mohseni Mandar Pitale J. B. S. Yadawa and Zhangyang Wang. 2020. Self-Supervised Learning for Generalizable Out-of-Distribution Detection. In AAAI. 5216--5223.","DOI":"10.1609\/aaai.v34i04.5966"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/2980539.2980649"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3157382.3157633"},{"key":"e_1_3_2_2_25_1","volume-title":"Kyuewang Lee, and Jin Young Choi.","author":"Park Jiwoong","year":"2019","unstructured":"Jiwoong Park , Minsik Lee , Hyung Jin Chang , Kyuewang Lee, and Jin Young Choi. 2019 . Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. In ICCV. 6518--6527. Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, and Jin Young Choi. 2019. Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. In ICCV. 6518--6527."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380112"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_2_28_1","volume-title":"Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. CoRR","author":"Sahin G\u00f6","year":"2019","unstructured":"G\u00f6 zde G\u00fc l Sahin and Mark Steedman . 2019. Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. CoRR , Vol. abs\/ 1903 .09460 ( 2019 ). G\u00f6 zde G\u00fc l Sahin and Mark Steedman. 2019. Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. CoRR, Vol. abs\/1903.09460 (2019)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772862"},{"key":"e_1_3_2_2_30_1","volume-title":"Pitfalls of Graph Neural Network Evaluation. CoRR","author":"Shchur Oleksandr","year":"2018","unstructured":"Oleksandr Shchur , Maximilian Mumme , Aleksandar Bojchevski , and Stephan G\u00fc nnemann. 2018. Pitfalls of Graph Neural Network Evaluation. CoRR , Vol. abs\/ 1811 .05868 ( 2018 ). Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, and Stephan G\u00fc nnemann. 2018. Pitfalls of Graph Neural Network Evaluation. CoRR, Vol. abs\/1811.05868 (2018)."},{"key":"e_1_3_2_2_31_1","unstructured":"Fan-Yun Sun Jordan Hoffmann Vikas Verma and Jian Tang. 2020a. InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. In ICLR.  Fan-Yun Sun Jordan Hoffmann Vikas Verma and Jian Tang. 2020a. InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. In ICLR."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Ke Sun Zhouchen Lin and Zhanxing Zhu. 2020b. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. In AAAI. 5892--5899.  Ke Sun Zhouchen Lin and Zhanxing Zhu. 2020b. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. In AAAI. 5892--5899.","DOI":"10.1609\/aaai.v34i04.6048"},{"key":"e_1_3_2_2_33_1","volume-title":"ERNIE: Enhanced Representation through Knowledge Integration. CoRR","author":"Sun Yu","year":"2019","unstructured":"Yu Sun , Shuohuan Wang , Yu-Kun Li , Shikun Feng , Xuyi Chen , Han Zhang , Xin Tian , Danxiang Zhu , Hao Tian , and Hua Wu . 2019 . ERNIE: Enhanced Representation through Knowledge Integration. CoRR , Vol. abs\/ 1904 .09223 (2019). Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019. ERNIE: Enhanced Representation through Knowledge Integration. CoRR, Vol. abs\/1904.09223 (2019)."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Yonglong Tian Dilip Krishnan and Phillip Isola. 2020. Contrastive Multiview Coding. In ECCV. 776--794.  Yonglong Tian Dilip Krishnan and Phillip Isola. 2020. Contrastive Multiview Coding. In ECCV. 776--794.","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"e_1_3_2_2_36_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR.  Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_2_37_1","unstructured":"Petar Velickovic William Fedus William L. Hamilton Pietro Li\u00f2 Yoshua Bengio and R. Devon Hjelm. 2019. Deep Graph Infomax. In ICLR.  Petar Velickovic William Fedus William L. Hamilton Pietro Li\u00f2 Yoshua Bengio and R. Devon Hjelm. 2019. Deep Graph Infomax. In ICLR."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie and Minyi Guo. 2018. GraphGAN: Graph Representation Learning With Generative Adversarial Nets. In AAAI. 2508--2515.  Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie and Minyi Guo. 2018. GraphGAN: Graph Representation Learning With Generative Adversarial Nets. In AAAI. 2508--2515.","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"crossref","unstructured":"Xiao Wang Meiqi Zhu Deyu Bo Peng Cui Chuan Shi and Jian Pei. 2020. AM-GCN: Adaptive Multi-Channel Graph Convolutional Networks. In KDD. 1243--1253.  Xiao Wang Meiqi Zhu Deyu Bo Peng Cui Chuan Shi and Jian Pei. 2020. AM-GCN: Adaptive Multi-Channel Graph Convolutional Networks. In KDD. 1243--1253.","DOI":"10.1145\/3394486.3403177"},{"key":"e_1_3_2_2_40_1","volume-title":"Weinberger","author":"Wu Felix","year":"2019","unstructured":"Felix Wu , Amauri H. Souza Jr ., Tianyi Zhang , Christopher Fifty , Tao Yu , and Kilian Q . Weinberger . 2019 . Simplifying Graph Convolutional Networks. In ICML. 6861--6871. Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Q. Weinberger. 2019. Simplifying Graph Convolutional Networks. In ICML. 6861--6871."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454804"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_2_43_1","unstructured":"Yuning You Tianlong Chen Zhangyang Wang and Yang Shen. 2020. When Does Self-Supervision Help Graph Convolutional Networks?. In ICML. 10871--10880.  Yuning You Tianlong Chen Zhangyang Wang and Yang Shen. 2020. When Does Self-Supervision Help Graph Convolutional Networks?. In ICML. 10871--10880."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Haoyu Zhang Dingkun Long Guangwei Xu Muhua Zhu Pengjun Xie Fei Huang and Ji Wang. 2020. Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. In IJCAI. 3808--3815.  Haoyu Zhang Dingkun Long Guangwei Xu Muhua Zhu Pengjun Xie Fei Huang and Ji Wang. 2020. Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. In IJCAI. 3808--3815.","DOI":"10.24963\/ijcai.2020\/527"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327345.3327423"},{"key":"e_1_3_2_2_46_1","volume-title":"Dalca","author":"Zhao Amy","year":"2019","unstructured":"Amy Zhao , Guha Balakrishnan , Fr\u00e9 do Durand , John V. Guttag , and Adrian V . Dalca . 2019 . Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. In CVPR. 8543--8553. Amy Zhao, Guha Balakrishnan, Fr\u00e9 do Durand, John V. Guttag, and Adrian V. Dalca. 2019. Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. In CVPR. 8543--8553."},{"key":"e_1_3_2_2_47_1","unstructured":"Lingxiao Zhao and Leman Akoglu. 2020. PairNorm: Tackling Oversmoothing in GNNs. In ICLR.  Lingxiao Zhao and Leman Akoglu. 2020. PairNorm: Tackling Oversmoothing in GNNs. In ICLR."}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482469","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482469","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:49Z","timestamp":1750193329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482469"}},"subtitle":["Iterative Feature Clustering for Graph Representation Learning"],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":47,"alternative-id":["10.1145\/3459637.3482469","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482469","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}