{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T18:25:49Z","timestamp":1770056749424,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,12]]},"DOI":"10.1145\/3784833.3784841","type":"proceedings-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T05:22:31Z","timestamp":1770009751000},"page":"19-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Accurate identification of Migraine by using graph attention network on multi-modal magnetic resonance imaging data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0724-9583","authenticated-orcid":false,"given":"Taoxiang","family":"Fang","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6859-0819","authenticated-orcid":false,"given":"Yingran","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0635-4745","authenticated-orcid":false,"given":"Di","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3244-6552","authenticated-orcid":false,"given":"Yanliang","family":"Mei","sequence":"additional","affiliation":[{"name":"Beijing Tiantan Hospital, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9129-3498","authenticated-orcid":false,"given":"Dong","family":"Qiu","sequence":"additional","affiliation":[{"name":"Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1052-6992","authenticated-orcid":false,"given":"Binbin","family":"Sui","sequence":"additional","affiliation":[{"name":"Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9767-1713","authenticated-orcid":false,"given":"Yonggang","family":"Wang","sequence":"additional","affiliation":[{"name":"Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2299-2069","authenticated-orcid":false,"given":"Fangrong","family":"Zong","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,2]]},"reference":[{"issue":"10","key":"e_1_3_3_1_1_2","article-title":"Migraine-A comprehensive review","volume":"5","author":"Ravisankar P.","year":"2015","unstructured":"Ravisankar, P., Hundia, A., Sindhura, J., Rani, B. S., & Sai, P.: Migraine-A comprehensive review. Journal of Pharmaceutical Research, 5(10) (2015)","journal-title":"Journal of Pharmaceutical Research"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s101940300002"},{"key":"e_1_3_3_1_3_2","volume-title":"Chronic migraine. Bmj, 348","author":"Schwedt T. J.","year":"2014","unstructured":"Schwedt, T. J. (2014): Chronic migraine. Bmj, 348"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Gaviria E. & Eltayeb Hamid A. H.: Comparative Long-Term Effectiveness Of OnabotulinumtoxinA (Botox) And Anti CGRP In Migraine Prevention: A Systematic Review. F1000Research 13 665 (2024)","DOI":"10.12688\/f1000research.151605.1"},{"issue":"4","key":"e_1_3_3_1_5_2","first-page":"953","article-title":"Acute migraine treatment. Continuum","volume":"21","author":"Becker W. J.","year":"2015","unstructured":"Becker, W. J.: Acute migraine treatment. Continuum: Lifelong Learning in Neurology, 21(4), 953-972 (2015)","journal-title":"Lifelong Learning in Neurology"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/cells11172767"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-55874-0"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.04.009"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Khan J. Al Asoom L. I. Al Sunni A. Rafique N. Latif R. Al Saif S. ... & Borgio J. F.: Genetics pathophysiology diagnosis treatment management and prevention of migraine. Biomedicine & pharmacotherapy 139 111557 (2021)","DOI":"10.1016\/j.biopha.2021.111557"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Le Bihan D.: Looking into the functional architecture of the brain with diffusion MRI. Nature reviews neuroscience 4(6) 469-480 (2003)","DOI":"10.1038\/nrn1119"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0074-7742(05)66006-0"},{"key":"e_1_3_3_1_12_2","volume-title":"Brain Communications, 2023","author":"Rahman Siddiquee M. M.","year":"2023","unstructured":"Rahman Siddiquee M. M., Shah J., Chong C., et al.: Headache classification and automatic biomarker extraction from structural MRIs using deep learning[J]. Brain Communications, 2023, 5(1): fcac311 (2023)"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1186\/s10194-024-01946-5"},{"key":"e_1_3_3_1_14_2","volume-title":"TriChronoNet: Advancing electricity price prediction with Multi-module fusion. Applied Energy, 371, 123626","author":"He M.","year":"2024","unstructured":"He, M., Jiang, W., & Gu, W. (2024). TriChronoNet: Advancing electricity price prediction with Multi-module fusion. Applied Energy, 371, 123626."},{"key":"e_1_3_3_1_15_2","volume-title":"Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites. Information Fusion, 114, 102682","author":"Lu Y.","year":"2025","unstructured":"Lu, Y., Wang, W., Bai, R., Zhou, S., Garg, L., Bashir, A. K., ... & Hu, X. (2025). Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites. Information Fusion, 114, 102682."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3415729"},{"key":"e_1_3_3_1_17_2","volume-title":"Mobile traffic prediction in consumer applications: A multimodal deep learning approach","author":"Jiang W.","year":"2024","unstructured":"Jiang, W., Zhang, Y., Han, H., Huang, Z., Li, Q., & Mu, J. (2024). Mobile traffic prediction in consumer applications: A multimodal deep learning approach. IEEE Transactions on Consumer Electronics, 70(1), 3425-3435."},{"issue":"3","key":"e_1_3_3_1_18_2","first-page":"783","article-title":"Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis[J]","volume":"5","author":"Zhao K.","year":"2021","unstructured":"Zhao K., Zheng Q., Che T., et al.: Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis[J]. Network Neuroscience, 2021, 5(3): 783-797 (2021)","journal-title":"Network Neuroscience"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103165"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Li Y. Qian B. Zhang X. & Liu H.: Graph neural network-based diagnosis prediction. Big data 8(5) 379-390 (2020)","DOI":"10.1089\/big.2020.0070"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.3390\/fi16090318"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Dong C. & Sun D.: Brain network classification based on dynamic graph attention information bottleneck. Computer Methods and Programs in Biomedicine 243 107913 (2024)","DOI":"10.1016\/j.cmpb.2023.107913"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065721500271"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.3390\/a18020089"},{"key":"e_1_3_3_1_25_2","volume-title":"GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification[J]. BMC bioinformatics","author":"Hu J.","year":"2021","unstructured":"Hu J., Cao L., Li T., et al.: GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification[J]. BMC bioinformatics, 2021, 22: 1-20 (2021)"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3554-12.2013"},{"key":"e_1_3_3_1_27_2","volume-title":": White matter lesions in migraine. The American journal of pathology, 191(11)","author":"Eikermann-Haerter K.","year":"1955","unstructured":"Eikermann-Haerter, K., & Huang, S. Y.: White matter lesions in migraine. The American journal of pathology, 191(11), 1955-1962 (2021)"},{"key":"e_1_3_3_1_28_2","unstructured":"Farnia P. Makkiabadi B. & Leemans A.: A review on learning-based algorithms for tractography and human brain white matter tracts recognition. Neuroradiology 1-27 (2025)"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Ashina S. Bentivegna E. Martelletti P. & Eikermann-Haerter K.: Structural and functional brain changes in migraine. Pain and therapy 10 211-223 (2021)","DOI":"10.1007\/s40122-021-00240-5"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1186\/s10194-024-01899-9"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Lin T. Y. Goyal P. Girshick R. et al.: Focal loss for dense object detection[C]\/\/Proceedings of the IEEE international conference on computer vision. 2017: 2980-2988 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363631"}],"event":{"name":"ICCIP 2025: 2025 the 11th International Conference on Communication and Information Processing","location":"Lingshui Hainan China","acronym":"ICCIP 2025"},"container-title":["Proceedings of the 2025 11th International Conference on Communication and Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3784833.3784841","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T07:47:09Z","timestamp":1770018429000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3784833.3784841"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,12]]},"references-count":32,"alternative-id":["10.1145\/3784833.3784841","10.1145\/3784833"],"URL":"https:\/\/doi.org\/10.1145\/3784833.3784841","relation":{},"subject":[],"published":{"date-parts":[[2025,11,12]]},"assertion":[{"value":"2026-02-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}