{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T13:30:43Z","timestamp":1768915843320,"version":"3.49.0"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T00:00:00Z","timestamp":1664928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities of Central South University","award":["2021zzts0206"],"award-info":[{"award-number":["2021zzts0206"]}]},{"name":"Qingtan scholar talent project of Zaozhuang University"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702444"],"award-info":[{"award-number":["61702444"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172355"],"award-info":[{"award-number":["62172355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation 2030-\u2018Brain Science and Brain-like Research\u2019 Major Project","award":["2021ZD0200403"],"award-info":[{"award-number":["2021ZD0200403"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,19]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>PIWI proteins and Piwi-Interacting RNAs (piRNAs) are commonly detected in human cancers, especially in germline and somatic tissues, and correlate with poorer clinical outcomes, suggesting that they play a functional role in cancer. As the problem of combinatorial explosions between ncRNA and disease exposes gradually, new bioinformatics methods for large-scale identification and prioritization of potential associations are therefore of interest. However, in the real world, the network of interactions between molecules is enormously intricate and noisy, which poses a problem for efficient graph mining. Line graphs can extend many heterogeneous networks to replace dichotomous networks. In this study, we present a new graph neural network framework, line graph attention networks (LGAT). And we apply it to predict PiRNA disease association (GAPDA). In the experiment, GAPDA performs excellently in 5-fold cross-validation with an AUC of 0.9038. Not only that, it still has superior performance compared with methods based on collaborative filtering and attribute features. The experimental results show that GAPDA ensures the prospect of the graph neural network on such problems and can be an excellent supplement for future biomedical research.<\/jats:p>","DOI":"10.1093\/bib\/bbac393","type":"journal-article","created":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T11:44:31Z","timestamp":1665056671000},"source":"Crossref","is-referenced-by-count":14,"title":["Line graph attention networks for predicting disease-associated Piwi-interacting RNAs"],"prefix":"10.1093","volume":"23","author":[{"given":"Kai","family":"Zheng","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Zaozhuang University , Shandong 277100, China"},{"name":"Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University , Changsha, 410083, China"}]},{"given":"Xin-Lu","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0184-307X","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Zaozhuang University , Shandong 277100, China"},{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning 530007, China"}]},{"given":"Zhu-Hong","family":"You","sequence":"additional","affiliation":[{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning 530007, China"}]},{"given":"Zhao-Hui","family":"Zhan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong , Kowloon, Hong Kong"}]},{"given":"Hao-Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central 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