{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T17:54:15Z","timestamp":1770227655520,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T00:00:00Z","timestamp":1709510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62272032"],"award-info":[{"award-number":["62272032"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3,4]]},"DOI":"10.1145\/3616855.3635789","type":"proceedings-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T18:18:12Z","timestamp":1709576292000},"page":"873-881","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4902-5117","authenticated-orcid":false,"given":"Rong","family":"Yan","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1761-3060","authenticated-orcid":false,"given":"Peng","family":"Bao","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9626-4106","authenticated-orcid":false,"given":"Xiao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4080-0776","authenticated-orcid":false,"given":"Zhongyi","family":"Liu","sequence":"additional","affiliation":[{"name":"TravelSky Technology Limited; Key Lab of Intelligent Passenger Service of Civil Aviation, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3685-976X","authenticated-orcid":false,"given":"Hui","family":"Liu","sequence":"additional","affiliation":[{"name":"TravelSky Technology Limited; Key Lab of Intelligent Passenger Service of Civil Aviation, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2024,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524722"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16514"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132925"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892636"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380079"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems.","author":"Hafidi Hakim","year":"2020","unstructured":"Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, and Ananthram Swami. 2020. GraphCL: Contrastive Self-Supervised Learning of Graph Representations. In Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning. 4116--4126","author":"Hassani Kaveh","year":"2020","unstructured":"Kaveh Hassani and Amir Hosein Khas Ahmadi. 2020. Contrastive Multi-View Representation Learning on Graphs. In Proceedings of the 37th International Conference on Machine Learning. 4116--4126."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01066"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/204"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems. 21798--21809","author":"Kalantidis Yannis","year":"2020","unstructured":"Yannis Kalantidis, Mert Bulent Sariyildiz, No'e Pion, Philippe Weinzaepfel, and Diane Larlus. 2020. Hard Negative Mixing for Contrastive Learning. In Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems. 21798--21809."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 5th International Conference on Learning Representations.","author":"Kipf Thomas","year":"2017","unstructured":"Thomas Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In Proceedings of the 5th International Conference on Learning Representations."},{"key":"e_1_3_2_1_15_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2016","unstructured":"Thomas N. Kipf and Max Welling. 2016. Variational Graph Auto-Encoders. arXiv preprint arXiv:1611.07308 (2016)."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 7th International Conference on Learning Representations.","author":"Klicpera Johannes","year":"2019","unstructured":"Johannes Klicpera, Aleksandar Bojchevski, and Stephan G\u00fc nnemann. 2019. Predict then Propagate: Graph Neural Networks meet Personalized PageRank. In Proceedings of the 7th International Conference on Learning Representations."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2456--2460","author":"Park Seongmin","year":"2023","unstructured":"Jae-woong Lee, Seongmin Park, Mincheol Yoon, and Jongwuk Lee. 2023. uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2456--2460."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20700"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20046"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems.","author":"Liu Nian","year":"2022","unstructured":"Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, and Jian Pei. 2022. Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. In Proceedings of Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_21_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 E. 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_22_1","volume-title":"Proceedings of the 33rd British Machine Vision Conference. 844","author":"Moon Jong Hak","year":"2022","unstructured":"Jong Hak Moon, Wonjae Kim, and Edward Choi. 2022. Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations. In Proceedings of the 33rd British Machine Vision Conference. 844."},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems 14: Annual Conference on Neural Information Processing Systems. 849--856","author":"Ng Andrew Y.","year":"2001","unstructured":"Andrew Y. Ng, Michael I. Jordan, and Yair Weiss. 2001. On Spectral Clustering: Analysis and an algorithm. In Proceedings of Advances in Neural Information Processing Systems 14: Annual Conference on Neural Information Processing Systems. 849--856."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/362"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380112"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.07.076"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the 9th International Conference on Learning Representations. 5492--5500","author":"Robinson Joshua","year":"2021","unstructured":"Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, and Stefanie Jegelka. 2021. Contrastive Learning with Hard Negative Samples. In Proceedings of the 9th International Conference on Learning Representations. 5492--5500."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.","author":"Sun Mengying","year":"2021","unstructured":"Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, and Jiayu Zhou. 2021. MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations.","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2 , and Yoshua Bengio. 2018. Graph Attention Networks. In Proceedings of the 6th International Conference on Learning Representations."},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 7th International Conference on Learning Representations.","author":"Velickovic Petar","unstructured":"Petar Velickovic, William Fedus, William L. Hamilton, Pietro Li\u00f2, Yoshua Bengio, and R. Devon Hjelm. 2019. Deep Graph Infomax. In Proceedings of the 7th International Conference on Learning Representations."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17206"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Hong Wang Jieyu Zhang Qi Zhu and Weitao Huang. 2022c. Augmentation-Free Graph Contrastive Learning with Performance Guarantee.","DOI":"10.2139\/ssrn.4606761"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108215"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102967"},{"key":"e_1_3_2_1_38_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Wang Tongzhou","year":"2020","unstructured":"Tongzhou Wang and Phillip Isola. 2020. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. In Proceedings of the 37th International Conference on Machine Learning, Vol. 119. 9929--9939."},{"key":"e_1_3_2_1_39_1","volume-title":"Simplifying Graph Convolutional Networks. In Proceedings of the 36th International Conference on Machine Learning","volume":"97","author":"Wu Felix","unstructured":"Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Q. Weinberger. 2019. Simplifying Graph Convolutional Networks. In Proceedings of the 36th International Conference on Machine Learning, Vol. 97. 6861--6871."},{"key":"e_1_3_2_1_40_1","volume-title":"ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. In Proceedings of the 2022 International Conference on Machine Learning","volume":"162","author":"Xia Jun","unstructured":"Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, and Stan Z. Li. 2022. ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. In Proceedings of the 2022 International Conference on Machine Learning, Vol. 162. 24332--24346."},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the 9th International Conference on Learning Representations.","author":"Xiao Tete","year":"2021","unstructured":"Tete Xiao, Xiaolong Wang, Alexei A. Efros, and Trevor Darrell. 2021. What Should Not Be Contrastive in Contrastive Learning. In Proceedings of the 9th International Conference on Learning Representations."},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems. 5812--5823","author":"You Yuning","year":"2020","unstructured":"Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020a. Graph Contrastive Learning with Augmentations. In Proceedings of Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems. 5812--5823."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525946"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498416"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531937"},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning. io","author":"Zhu Yanqiao","year":"2020","unstructured":"Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2020. Deep Graph Contrastive Representation Learning. In Proceedings of the 37th International Conference on Machine Learning. io"}],"event":{"name":"WSDM '24: The 17th ACM International Conference on Web Search and Data Mining","location":"Merida Mexico","acronym":"WSDM '24","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 17th ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635789","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3616855.3635789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:55:54Z","timestamp":1755824154000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635789"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,4]]},"references-count":46,"alternative-id":["10.1145\/3616855.3635789","10.1145\/3616855"],"URL":"https:\/\/doi.org\/10.1145\/3616855.3635789","relation":{},"subject":[],"published":{"date-parts":[[2024,3,4]]},"assertion":[{"value":"2024-03-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}