{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:08:19Z","timestamp":1770422899540,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2046"],"award-info":[{"award-number":["U21B2046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program Young Scientists Project","award":["2022YFB3102200"],"award-info":[{"award-number":["2022YFB3102200"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M713206"],"award-info":[{"award-number":["2022M713206"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614928","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:26Z","timestamp":1697874326000},"page":"2249-2258","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Improving Graph Domain Adaptation with Network Hierarchy"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4908-3444","authenticated-orcid":false,"given":"Boshen","family":"Shi","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9050-9705","authenticated-orcid":false,"given":"Yongqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, CAS, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2401-6499","authenticated-orcid":false,"given":"Fangda","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, CAS, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1552-4769","authenticated-orcid":false,"given":"Jiangli","family":"Shao","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1081-8119","authenticated-orcid":false,"given":"Huawei","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5201-8195","authenticated-orcid":false,"given":"Xueqi","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A theory of learning from different domains. Machine learning","author":"Ben-David Shai","year":"2010","unstructured":"Shai Ben-David , John Blitzer , Koby Crammer , Alex Kulesza , Fernando Pereira , and Jennifer Wortman Vaughan . 2010. A theory of learning from different domains. Machine learning , Vol. 79 , 1 ( 2010 ), 151--175. Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan. 2010. A theory of learning from different domains. Machine learning, Vol. 79, 1 (2010), 151--175."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557085"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"e_1_3_2_1_4_1","volume-title":"Graph domain adaptation: A generative view. arXiv preprint arXiv:2106.07482","author":"Cai Ruichu","year":"2021","unstructured":"Ruichu Cai , Fengzhu Wu , Zijian Li , Pengfei Wei , Lingling Yi , and Kun Zhang . 2021. Graph domain adaptation: A generative view. arXiv preprint arXiv:2106.07482 ( 2021 ). Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, and Kun Zhang. 2021. Graph domain adaptation: A generative view. arXiv preprint arXiv:2106.07482 (2021)."},{"key":"e_1_3_2_1_5_1","volume-title":"Statistical Network Analysis: Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis","author":"Clauset Aaron","year":"2006","unstructured":"Aaron Clauset , Cristopher Moore , and Mark EJ Newman . 2007. Structural inference of hierarchies in networks . In Statistical Network Analysis: Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis , Pittsburgh, PA, USA , June 29, 2006 , Revised Selected Papers. Springer , 1--13. Aaron Clauset, Cristopher Moore, and Mark EJ Newman. 2007. Structural inference of hierarchies in networks. In Statistical Network Analysis: Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers. Springer, 1--13."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3144250"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557353"},{"key":"e_1_3_2_1_8_1","volume-title":"Mario Marchand, and Victor Lempitsky.","author":"Ganin Yaroslav","year":"2016","unstructured":"Yaroslav Ganin , Evgeniya Ustinova , Hana Ajakan , Pascal Germain , Hugo Larochelle , Francc ois Laviolette , Mario Marchand, and Victor Lempitsky. 2016 . Domain-adversarial training of neural networks. The journal of machine learning research, Vol. 17 , 1 (2016), 2096--2030. Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Francc ois Laviolette, Mario Marchand, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. The journal of machine learning research, Vol. 17, 1 (2016), 2096--2030."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Hongyang Gao Yongjun Chen and Shuiwang Ji. 2019. Learning graph pooling and hybrid convolutional operations for text representations. In The world wide web conference. 2743--2749. Hongyang Gao Yongjun Chen and Shuiwang Ji. 2019. Learning graph pooling and hybrid convolutional operations for text representations. In The world wide web conference. 2743--2749.","DOI":"10.1145\/3308558.3313395"},{"key":"e_1_3_2_1_10_1","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton Arthur","year":"2012","unstructured":"Arthur Gretton , Karsten M Borgwardt , Malte J Rasch , Bernhard Sch\u00f6lkopf , and Alexander Smola . 2012 . A kernel two-sample test . The Journal of Machine Learning Research , Vol. 13 , 1 (2012), 723 -- 773 . Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Sch\u00f6lkopf, and Alexander Smola. 2012. A kernel two-sample test. The Journal of Machine Learning Research, Vol. 13, 1 (2012), 723--773.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3160211"},{"key":"e_1_3_2_1_12_1","volume-title":"Inductive representation learning on large graphs. Advances in neural information processing systems","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton , Zhitao Ying , and Jure Leskovec . 2017. Inductive representation learning on large graphs. Advances in neural information processing systems , Vol. 30 ( 2017 ). Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.001"},{"key":"e_1_3_2_1_14_1","volume-title":"Valuation of network effects in software markets: A complex networks approach","author":"Kemper Andreas","unstructured":"Andreas Kemper . 2009. Valuation of network effects in software markets: A complex networks approach . Springer Science & Business Media . Andreas Kemper. 2009. Valuation of network effects in software markets: A complex networks approach. Springer Science & Business Media."},{"key":"e_1_3_2_1_15_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0195-3"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539380"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806501"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557338"},{"key":"e_1_3_2_1_20_1","volume-title":"Graph pooling for graph neural networks: Progress, challenges, and opportunities. arXiv preprint arXiv:2204.07321","author":"Liu Chuang","year":"2022","unstructured":"Chuang Liu , Yibing Zhan , Chang Li , Bo Du , Jia Wu , Wenbin Hu , Tongliang Liu , and Dacheng Tao . 2022c. Graph pooling for graph neural networks: Progress, challenges, and opportunities. arXiv preprint arXiv:2204.07321 ( 2022 ). Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, and Dacheng Tao. 2022c. Graph pooling for graph neural networks: Progress, challenges, and opportunities. arXiv preprint arXiv:2204.07321 (2022)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557485"},{"key":"e_1_3_2_1_22_1","first-page":"5879","article-title":"Graph self-supervised learning: A survey","volume":"35","author":"Liu Yixin","year":"2022","unstructured":"Yixin Liu , Ming Jin , Shirui Pan , Chuan Zhou , Yu Zheng , Feng Xia , and S Yu Philip . 2022 b. Graph self-supervised learning: A survey . IEEE Transactions on Knowledge and Data Engineering , Vol. 35 , 6 (2022), 5879 -- 5900 . Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, and S Yu Philip. 2022b. Graph self-supervised learning: A survey. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, 6 (2022), 5879--5900.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"e_1_3_2_1_24_1","volume-title":"International conference on machine learning. PMLR, 2208--2217","author":"Long Mingsheng","year":"2017","unstructured":"Mingsheng Long , Han Zhu , Jianmin Wang , and Michael I Jordan . 2017 . Deep transfer learning with joint adaptation networks . In International conference on machine learning. PMLR, 2208--2217 . Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan. 2017. Deep transfer learning with joint adaptation networks. In International conference on machine learning. PMLR, 2208--2217."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539281"},{"key":"e_1_3_2_1_26_1","volume-title":"International conference on machine learning. PMLR, 4212--4221","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma , Peng Cui , Kun Kuang , Xin Wang , and Wenwu Zhu . 2019 . Disentangled graph convolutional networks . In International conference on machine learning. PMLR, 4212--4221 . Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, and Wenwu Zhu. 2019. Disentangled graph convolutional networks. In International conference on machine learning. PMLR, 4212--4221."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583464"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13225"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"e_1_3_2_1_31_1","volume-title":"Hierarchical organization in complex networks. Physical review E","author":"Ravasz Erzs\u00e9bet","year":"2003","unstructured":"Erzs\u00e9bet Ravasz and Albert-L\u00e1szl\u00f3 Barab\u00e1si . 2003. Hierarchical organization in complex networks. Physical review E , Vol. 67 , 2 ( 2003 ), 026112. Erzs\u00e9bet Ravasz and Albert-L\u00e1szl\u00f3 Barab\u00e1si. 2003. Hierarchical organization in complex networks. Physical review E, Vol. 67, 2 (2003), 026112."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnab014"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5692"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995483"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.71.057101"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539249"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"e_1_3_2_1_39_1","volume-title":"Non-IID Transfer Learning on Graphs. arXiv preprint arXiv:2212.08174","author":"Wu Jun","year":"2022","unstructured":"Jun Wu , Jingrui He , and Elizabeth Ainsworth . 2022a. Non-IID Transfer Learning on Graphs. arXiv preprint arXiv:2212.08174 ( 2022 ). Jun Wu, Jingrui He, and Elizabeth Ainsworth. 2022a. Non-IID Transfer Learning on Graphs. arXiv preprint arXiv:2212.08174 (2022)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380219"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403043"},{"key":"e_1_3_2_1_42_1","volume-title":"Handling Distribution Shifts on Graphs: An Invariance Perspective. In International Conference on Learning Representations.","author":"Wu Qitian","year":"2022","unstructured":"Qitian Wu , Hengrui Zhang , Junchi Yan , and David Wipf . 2022 b. Handling Distribution Shifts on Graphs: An Invariance Perspective. In International Conference on Learning Representations. Qitian Wu, Hengrui Zhang, Junchi Yan, and David Wipf. 2022b. Handling Distribution Shifts on Graphs: An Invariance Perspective. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_43_1","volume-title":"CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. arXiv preprint arXiv:2110.14855","author":"Xue Haotian","year":"2021","unstructured":"Haotian Xue , Kaixiong Zhou , Tianlong Chen , Kai Guo , Xia Hu , Yi Chang , and Xin Wang . 2021 . CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. arXiv preprint arXiv:2110.14855 (2021). Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, and Xin Wang. 2021. CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. arXiv preprint arXiv:2110.14855 (2021)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557709"},{"key":"e_1_3_2_1_45_1","volume-title":"Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems","author":"Ying Zhitao","year":"2018","unstructured":"Zhitao Ying , Jiaxuan You , Christopher Morris , Xiang Ren , Will Hamilton , and Jure Leskovec . 2018. Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems , Vol. 31 ( 2018 ). Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, and Jure Leskovec. 2018. Hierarchical graph representation learning with differentiable pooling. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_46_1","volume-title":"The Eleventh International Conference on Learning Representations.","author":"You Yuning","year":"2023","unstructured":"Yuning You , Tianlong Chen , Zhangyang Wang , and Yang Shen . 2023 . Graph Domain Adaptation via Theory-Grounded Spectral Regularization . In The Eleventh International Conference on Learning Representations. Yuning You, Tianlong Chen, Zhangyang Wang, and Yang Shen. 2023. Graph Domain Adaptation via Theory-Grounded Spectral Regularization. In The Eleventh International Conference on Learning Representations."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482228"},{"key":"e_1_3_2_1_48_1","first-page":"1766","article-title":"Transfer learning of graph neural networks with ego-graph information maximization","volume":"34","author":"Zhu Qi","year":"2021","unstructured":"Qi Zhu , Carl Yang , Yidan Xu , Haonan Wang , Chao Zhang , and Jiawei Han . 2021 . Transfer learning of graph neural networks with ego-graph information maximization . Advances in Neural Information Processing Systems , Vol. 34 (2021), 1766 -- 1779 . Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, and Jiawei Han. 2021. Transfer learning of graph neural networks with ego-graph information maximization. Advances in Neural Information Processing Systems, Vol. 34 (2021), 1766--1779.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614928","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:44Z","timestamp":1750178204000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":49,"alternative-id":["10.1145\/3583780.3614928","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614928","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}