{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:37:40Z","timestamp":1761176260650,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Hypergraphs provide excellent modeling ability for brain disorder identification, especially in capturing high-order interactions among regions of interest (ROIs). Nevertheless, existing methods overlook the impact of directional hyperedges learning on the brain network, leading to wasteful functional connectivity and poor identification performance. To address the above issue, this paper proposes a novel Brain Disorder Identification method via Directed Hypergraph Networks (D-HyperNet). Specifically, our methodology employs an Effective Network Construction module to capture causal dependencies and infer directional functional connectivity among ROIs. Followed by the Flow-aware Feature Aggregation module, which designs a novel directed hypergraph encoder that directionally aggregates node features, effectively improving the accuracy and reliability of brain network representations. Additionally, we are integrating the proposed encoder into a contrastive learning program to obtain a more robust whole-brain representation. Extensive experiments demonstrate the efficacy of our D-HyperNet approach. The code is available at https:\/\/github.com\/Jia-Weiming\/D-HyperNet.<\/jats:p>","DOI":"10.3233\/faia251284","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:56:56Z","timestamp":1761127016000},"source":"Crossref","is-referenced-by-count":0,"title":["D-HyperNet: Brain Disorder Identification in Directed Hypergraph via Effective Network Construction and Flow-Aware Feature Aggregation"],"prefix":"10.3233","author":[{"given":"Manman","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Computer Science, Inner Mongolia University, Hohhot, 010021, China, yuanman@imu.edu.cn, csjwm@mail.imu.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiming","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer Science, Inner Mongolia University, Hohhot, 010021, China, yuanman@imu.edu.cn, csjwm@mail.imu.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiejie","family":"Fan","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing, Beijing, 100083, China, fanjiejie777@gmail.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junlin","family":"Li","sequence":"additional","affiliation":[{"name":"Inner Mongolia Autonomous Region People\u2019s Hospital, Hohhot, 010017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiazhen","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Computer Science, Inner Mongolia University, Hohhot, 010021, China, yuanman@imu.edu.cn, csjwm@mail.imu.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Can","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science, Inner Mongolia University, Hohhot, 010021, China, yuanman@imu.edu.cn, csjwm@mail.imu.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:56:56Z","timestamp":1761127016000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251284"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251284","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}