{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T01:15:01Z","timestamp":1778721301711,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","funder":[{"name":"National Natural Science Foundation of China","award":["62302333"],"award-info":[{"award-number":["62302333"]}]},{"name":"National Natural Science Foundation of China","award":["62261045"],"award-info":[{"award-number":["62261045"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792266","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"845-856","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Unified Graph Clustering Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8568-2285","authenticated-orcid":false,"given":"Renda","family":"Han","sequence":"first","affiliation":[{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, School of Artificial Intelligence, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5086-4964","authenticated-orcid":false,"given":"Xiaobao","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, School of Artificial Intelligence, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8094-6861","authenticated-orcid":false,"given":"Longbiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Cognitive Computing and Application, School of Artificial Intelligence, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8916-6944","authenticated-orcid":false,"given":"Wenxin","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0751-224X","authenticated-orcid":false,"given":"Ronghao","family":"Fu","sequence":"additional","affiliation":[{"name":"Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6772-0331","authenticated-orcid":false,"given":"Kaiming","family":"Wang","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8819-3741","authenticated-orcid":false,"given":"Zeyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Australian National University, Canberra, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6673-9583","authenticated-orcid":false,"given":"Kuntharrgyal","family":"Khysru","sequence":"additional","affiliation":[{"name":"Qinghai Minzu University, Xining, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.132"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti1007"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-024-09575-4"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Cai Jinyu","year":"2025","unstructured":"Jinyu Cai, Yunhe Zhang, and Jicong Fan. 2025c. Self-Discriminative Modeling for Anomalous Graph Detection. In Proceedings of the International Conference on Machine Learning (2025)."},{"key":"e_1_3_2_1_6_1","volume-title":"Clustering with Multiple Cluster Perspectives Alignment. In International Joint Conference on Artificial Intelligence","author":"Cai Jinyu","year":"2024","unstructured":"Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, and Wenzhong Guo. 2024b. Dual Contrastive Graph-Level, Clustering with Multiple Cluster Perspectives Alignment. In International Joint Conference on Artificial Intelligence (2024)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3553129"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(03)00628-4"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3464648"},{"key":"e_1_3_2_1_10_1","first-page":"129","volume-title":"Proceedings of the 16th Annual Conference on Computational Learning Theory","author":"G\u00e4rtner T.","year":"2003","unstructured":"T. G\u00e4rtner, P. A. Flach, and S. Wrobel. 2003. On Graph Kernels: Hardness, Results and Efficient Alternatives. In Proceedings of the 16th Annual Conference on Computational Learning Theory (2003). 129-143."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"e_1_3_2_1_12_1","volume-title":"Unveiling Fine-grained Deceptive Patterns in Multi-modal Fake News: An Explainable Neuro-Symbolic Framework with LVLMs","author":"He Dongxiao","year":"2025","unstructured":"Dongxiao He, Yiqi Dong, Xiaobao Wang, Meng Ge, Carl Yang, Di Jin, and Witold Pedrycz. 2025. Unveiling Fine-grained Deceptive Patterns in Multi-modal Fake News: An Explainable Neuro-Symbolic Framework with LVLMs. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)."},{"key":"e_1_3_2_1_13_1","volume-title":"Learning Uniform Clusters on Hypersphere for Deep Graph-Level Clustering. ArXiv E-Prints","author":"Hu Mengling","year":"2023","unstructured":"Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, and Xiaolin Zheng. 2023. Learning Uniform Clusters on Hypersphere for Deep Graph-Level Clustering. ArXiv E-Prints (2023), arXiv-2311."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071275"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2025\/334"},{"key":"e_1_3_2_1_16_1","first-page":"694","volume-title":"Global Graph Kernels Using Geometric Embeddings. In International Conference on Machine Learning","volume":"32","author":"Johansson Fredrik","year":"2014","unstructured":"Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, and Chiranjib Bhattacharyya. 2014. Global Graph Kernels Using Geometric Embeddings. In International Conference on Machine Learning (2014), Vol. 32. 694-702."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25559"},{"key":"e_1_3_2_1_18_1","volume-title":"Graph Auto-Encoders. In Proceedings of the 5th International Conference on Learning Representations (ICLR, )","author":"Thomas","year":"2020","unstructured":"Thomas N. Kipf and Max Welling. 2020. Graph Auto-Encoders. In Proceedings of the 5th International Conference on Learning Representations (ICLR, ) (2020)."},{"key":"e_1_3_2_1_19_1","volume-title":"Variational Graph Auto-Encoders. ArXiv Preprint ArXiv:1611.07308","author":"Kipf Thomas N","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_20_1","first-page":"128629","article-title":"SCGC","volume":"611","author":"Kulatilleke Gayan K","year":"2025","unstructured":"Gayan K Kulatilleke, Marius Portmann, and Shekhar S Chandra. 2025. SCGC: Self-Supervised Contrastive Graph Clustering. Neurocomputing, Vol. 611 (2025), 128629.","journal-title":"Self-Supervised Contrastive Graph Clustering. Neurocomputing"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2024.9010179"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282989"},{"key":"e_1_3_2_1_23_1","volume-title":"From Concrete to Abstract: Multi-View Clustering on Relational Knowledge","author":"Liang Ke","year":"2025","unstructured":"Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, and Huaimin Wang. 2025. From Concrete to Abstract: Multi-View Clustering on Relational Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025), 1-18."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28719"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109624"},{"key":"e_1_3_2_1_26_1","volume-title":"Fedbrb: a Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning","author":"Liao Tianchi","year":"2025","unstructured":"Tianchi Liao, Ziyue Xu, Qing Hu, Hong-Ning Dai, Huaiwei Huang, Zibin Zheng, and Chuan Chen. 2025. Fedbrb: a Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. IEEE Transactions on Mobile Computing (2025), 1-14."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad235"},{"key":"e_1_3_2_1_28_1","volume-title":"Federated Node-Level Clustering Network with Cross-Subgraph Link Mending. In International Conference on Machine Learning","author":"Liu Jingxin","year":"2025","unstructured":"Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, and Jieren Cheng. 2025d. Federated Node-Level Clustering Network with Cross-Subgraph Link Mending. In International Conference on Machine Learning (2025), Vol. -. -."},{"key":"e_1_3_2_1_29_1","volume-title":"Adaptive Feature Boosting and Distribution Refinement for Graph Clustering. Pattern Recognition","author":"Liu Jingxin","year":"2025","unstructured":"Jingxin Liu, Xiangyan Tang, Renda Han, Wenxuan Tu, and Ruili Wang. 2025. Adaptive Feature Boosting and Distribution Refinement for Graph Clustering. Pattern Recognition (2025), 112309."},{"key":"e_1_3_2_1_30_1","volume-title":"2025 e. Multiview Temporal Graph Clustering","author":"Liu Meng","year":"2025","unstructured":"Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, and Xinwang Liu. 2025 e. Multiview Temporal Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems (2025), 1-14."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3386168"},{"key":"e_1_3_2_1_32_1","volume-title":"Deep Temporal Graph Clustering. In The 12th International Conference on Learning Representations","author":"Liu Meng","year":"2024","unstructured":"Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, and Xinwang Liu. 2024c. Deep Temporal Graph Clustering. In The 12th International Conference on Learning Representations (2024)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02471"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3774904.3792577"},{"key":"e_1_3_2_1_35_1","volume-title":"Tudataset: A, Collection of Benchmark Datasets for Learning with Graphs.","author":"Morris Christopher","year":"2020","unstructured":"Christopher Morris, Nils M Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann. 2020. Tudataset: A, Collection of Benchmark Datasets for Learning with Graphs. (2020)."},{"key":"e_1_3_2_1_36_1","first-page":"0","volume-title":"Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping. Online Proceedings of the Eleventh Workshop on Mining and Learning with Graphs","author":"Neumann Marion","year":"2013","unstructured":"Marion Neumann, Plinio Moreno, Laura Antanas, Roman Garnett, and Kristian Kersting. 2013. Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping. Online Proceedings of the Eleventh Workshop on Mining and Learning with Graphs (2013), 0-6."},{"key":"e_1_3_2_1_37_1","volume-title":"Dual Contrastive Learning Network for Graph Clustering","author":"Peng Xin","year":"2023","unstructured":"Xin Peng, Jieren Cheng, Xiangyan Tang, Jingxin Liu, and Jiahua Wu. 2023. Dual Contrastive Learning Network for Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems (2023)."},{"key":"e_1_3_2_1_38_1","volume-title":"International Conference on Learning Representations (ICLR, )","author":"Sun Fan-Yun","year":"2020","unstructured":"Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, and Jian Tang. 2020. InfoGraph: Unsupervised, and Semi-Supervised Graph-Level Representation Learning via Mutual Information Maximization. In International Conference on Learning Representations (ICLR, ) (2020)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1021\/ci034143r"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26187"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3172687"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17198"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/485"},{"key":"e_1_3_2_1_44_1","unstructured":"Rianne Van Den Berg N Kipf Thomas and Max Welling. 2017. Graph Convolutional Matrix Completion. (2017) 9 pages."},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (ICML, )","author":"Velickovic P.","year":"2018","unstructured":"P. Velickovic and et al., 2018. Deep Graph Infomax. In Proceedings of the 35th International Conference on Machine Learning (ICML, ) (2018)."},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings of the 6th International Conference on Learning Representations (ICLR, )","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Alberto Casanova, Javier Romero, Pietro Lio, and Yoshua Bengio. 2018. Graph Attention Networks. In Proceedings of the 6th International Conference on Learning Representations (ICLR, ) (2018)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25594"},{"key":"e_1_3_2_1_48_1","volume-title":"Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection","author":"Wang Xiaobao","year":"2025","unstructured":"Xiaobao Wang, Meng Ge, Lingshan Li, Di Jin, Kai He, and Erik Cambria. 2025. Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection. IEEE Transactions on Affective Computing (2025), 1-14."},{"key":"e_1_3_2_1_49_1","volume-title":"Proceedings of the Annual Conference on Neural Information Processing Systems.","author":"Wang Xiaobao","unstructured":"Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, and Di Jin. [n.d.]. Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification. In Proceedings of the Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.25"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3418459"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124724"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3153126"},{"key":"e_1_3_2_1_54_1","volume-title":"Proceedings of the 7th International Conference on Learning Representations","author":"Xu Keyulu","year":"2018","unstructured":"Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2018a. How Powerful Are Graph Neural Networks?. In Proceedings of the 7th International Conference on Learning Representations (2018)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-05936-0_35"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376662"},{"key":"e_1_3_2_1_57_1","first-page":"12121","volume-title":"Graph Contrastive Learning Automated. In International Conference on Machine Learning","author":"You Yuning","year":"2021","unstructured":"Yuning You, Tianlong Chen, Yang Shen, and Zhangyang Wang. 2021b. Graph Contrastive Learning Automated. In International Conference on Machine Learning (2021). 12121-12132."},{"key":"e_1_3_2_1_58_1","volume-title":"Proceedings of the 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. Proceedings of the Conference on Neural Information Processing Systems, 5812-5823."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40649-019-0069-y"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T01:03:34Z","timestamp":1778720614000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792266"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":59,"alternative-id":["10.1145\/3774904.3792266","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792266","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}