{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:15:54Z","timestamp":1783152954411,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","funder":[{"name":"Australian Research Council","award":["DP230100899, LP210301259, DP260100944, FT250100159"],"award-info":[{"award-number":["DP230100899, LP210301259, DP260100944, FT250100159"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792354","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"992-1003","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7929-3552","authenticated-orcid":false,"given":"Yongsheng","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3270-5609","authenticated-orcid":false,"given":"Congbo","family":"Ma","sequence":"additional","affiliation":[{"name":"Computer Engineering, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3068-0923","authenticated-orcid":false,"given":"Zitai","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-5133","authenticated-orcid":false,"given":"Shan","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4408-1952","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai, China and School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1371-5801","authenticated-orcid":false,"given":"Jia","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the Sixth Arabic Natural Language Processing Workshop. 42-52","author":"Alharbi Alaa","year":"2021","unstructured":"Alaa Alharbi and Mark Lee. 2021. Kawarith: an Arabic twitter corpus for crisis events. In Proceedings of the Sixth Arabic Natural Language Processing Workshop. 42-52."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-013-0340-z"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12017"},{"key":"e_1_3_2_1_4_1","first-page":"8255","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Cao Yuwei","unstructured":"Yuwei Cao, Hao Peng, Zhengtao Yu, and Philip S. Yu. 2024. Hierarchical and incremental structural entropy minimization for unsupervised social event detection. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 8255-8264."},{"key":"e_1_3_2_1_5_1","volume-title":"International conference on machine learning. PMLR, 1407-1418","author":"Chamberlain Ben","year":"2021","unstructured":"Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael Bronstein, Stefan Webb, and Emanuele Rossi. 2021. Grand: Graph neural diffusion. In International conference on machine learning. PMLR, 1407-1418."},{"key":"e_1_3_2_1_6_1","volume-title":"Inverse acoustic and electromagnetic scattering theory","author":"Colton David L.","unstructured":"David L. Colton, Rainer Kress, and Rainer Kress. 1998. Inverse acoustic and electromagnetic scattering theory. Vol. 93. Springer."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447270"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1137\/080737538"},{"key":"e_1_3_2_1_9_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)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.03.001"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-05988-7"},{"key":"e_1_3_2_1_13_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations (ICLR","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations (ICLR 2017). OpenReview.net."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-020-00719-7"},{"key":"e_1_3_2_1_15_1","volume-title":"International conference on machine learning. PMLR, 1188-1196","author":"Le Quoc","year":"2014","unstructured":"Quoc Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In International conference on machine learning. PMLR, 1188-1196."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2025.125526"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.92.042810"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28716"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080700"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 9th ACM Conference on Recommender Systems. 123-130","author":"Macedo Augusto Q.","unstructured":"Augusto Q. Macedo, Leandro B. Marinho, and Rodrygo L.T. Santos. 2015. Context-aware event recommendation in event-based social networks. In Proceedings of the 9th ACM Conference on Recommender Systems. 123-130."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-017-0479-5"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management. 409-418","author":"McMinn Andrew J.","unstructured":"Andrew J. McMinn, Yashar Moshfeghi, and Joemon M. Jose. 2013. Building a large-scale corpus for evaluating event detection on twitter. In Proceedings of the 22nd ACM international conference on Information & Knowledge Management. 409-418."},{"key":"e_1_3_2_1_23_1","volume-title":"LIHAN: A lattice-guided incomplete heterogeneous information network embedding model for node classification","author":"Mei Guangxu","year":"2024","unstructured":"Guangxu Mei, Ziyu Guo, Li Pan, Qian Li, Feng Li, and Shijun Liu. 2024. LIHAN: A lattice-guided incomplete heterogeneous information network embedding model for node classification. IEEE Transactions on Computational Social Systems (2024)."},{"key":"e_1_3_2_1_24_1","volume-title":"Nisar and Man Yeung","author":"Tahir","year":"2018","unstructured":"Tahir M. Nisar and Man Yeung. 2018. Twitter as a tool for forecasting stock market movements: A short-window event study. The journal of finance and data science, Vol. 4, 2 (2018), 101-119."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2675133.2675242"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447585"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3144993"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645526"},{"key":"e_1_3_2_1_30_1","volume-title":"Aggarwal","author":"Qiu Zitai","year":"2024","unstructured":"Zitai Qiu, Jia Wu, Jian Yang, Xing Su, and Charu C. Aggarwal. 2024b. Heterogeneous social event detection via hyperbolic graph representations. IEEE Transactions on Big Data (2024), 1\u201315."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_32_1","volume-title":"2022 IEEE International Conference on Web Services (ICWS). IEEE, 331-336","author":"Ren Jiaqian","unstructured":"Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, and Philip S. Yu. 2022. Evidential temporal-aware graph-based social event detection via Dempster-Shafer theory. In 2022 IEEE International Conference on Web Services (ICWS). IEEE, 331-336."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3689948"},{"key":"e_1_3_2_1_34_1","volume-title":"Yu","author":"Ren Jiaqian","year":"2023","unstructured":"Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, and Philip S. Yu. 2023. Uncertainty-guided boundary learning for imbalanced social event detection. IEEE Transactions on Knowledge and Data Engineering (2023)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3504962"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00468-6"},{"key":"e_1_3_2_1_37_1","volume-title":"Meta-path guided embedding for similarity search in large-scale heterogeneous information networks. arXiv preprint arXiv:1610.09769","author":"Shang Jingbo","year":"2016","unstructured":"Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, and Jian Peng. 2016. Meta-path guided embedding for similarity search in large-scale heterogeneous information networks. arXiv preprint arXiv:1610.09769 (2016)."},{"key":"e_1_3_2_1_38_1","unstructured":"Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang and Yu Sun. 2021. Masked label prediction: Unified message passing model for semi-supervised classification. arXiv:2009.03509 [cs.LG]"},{"key":"e_1_3_2_1_39_1","volume-title":"Karniadakis","author":"Shukla Khemraj","year":"2020","unstructured":"Khemraj Shukla, Patricio C.D. Leoni, James Blackshire, Daniel Sparkman, and George E. Karniadakis. 2020. Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks. showeprint2005.03596"},{"key":"e_1_3_2_1_40_1","volume-title":"The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains","author":"Shuman David I.","year":"2013","unstructured":"David I. Shuman, Sunil K. Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst. 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains. IEEE signal processing magazine, Vol. 30, 3 (2013), 83-98."},{"key":"e_1_3_2_1_41_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks. (2017)."},{"key":"e_1_3_2_1_42_1","article-title":"Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance","volume":"11","author":"Vinh Nguyen Xuan","year":"2010","unstructured":"Nguyen Xuan Vinh, Julien Epps, and James Bailey. 2010. Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. J. Mach. Learn. Res., Vol. 11 (dec 2010), 2837\u20132854.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_43_1","unstructured":"Liang Wang Nan Yang Xiaolong Huang Binxing Jiao Linjun Yang Daxin Jiang Rangan Majumder and Furu Wei. 2024. Text embeddings by weakly-supervised contrastive pre-training. arXiv:2212.03533 [cs.CL]"},{"key":"e_1_3_2_1_44_1","volume-title":"Yu","author":"Wang Xiao","year":"2019","unstructured":"Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S. Yu. 2019. Heterogeneous graph attention network. In The world wide web conference. 2022-2032."},{"key":"e_1_3_2_1_45_1","volume-title":"MRME-Net: Towards muti-semantics learning and long-tail problem of efficient event detection from social messages","author":"Wu Ruihan","year":"2024","unstructured":"Ruihan Wu, Tianfa Hong, and FangYing Wan. 2024. MRME-Net: Towards muti-semantics learning and long-tail problem of efficient event detection from social messages. Journal of King Saud University-Computer and Information Sciences (2024), 102070."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679537"},{"key":"e_1_3_2_1_47_1","volume-title":"Mahoney","author":"Yao Zhewei","year":"2021","unstructured":"Zhewei Yao, Amir Gholami, Kurt Keutzer, and Michael W. Mahoney. 2021. AdaHessian: An Adaptive Second-Order Optimizer for Machine Learning. In AAAI."},{"key":"e_1_3_2_1_48_1","volume-title":"39th Annual AAAI Conference on Artificial Intelligence (AAAI2025)","author":"Yu Xiaoyan","year":"2025","unstructured":"Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, and Philip S. Yu. 2025. Towards effective, efficient and unsupervised social event detection in the hyperbolic space. 39th Annual AAAI Conference on Artificial Intelligence (AAAI2025) (2025)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386153"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714673"},{"key":"e_1_3_2_1_51_1","volume-title":"Kim","author":"Yun Seongjun","year":"2019","unstructured":"Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, and Hyunwoo J. Kim. 2019. Graph transformer networks. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.05.036"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11219996"}],"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\/3774904.3792354","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:23:29Z","timestamp":1783149809000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":53,"alternative-id":["10.1145\/3774904.3792354","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792354","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"}}]}}