{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:30:30Z","timestamp":1777397430797,"version":"3.51.4"},"reference-count":51,"publisher":"American Chemical Society (ACS)","issue":"10","license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"name":"Prefecture Science Fund Project","award":["2023D01F28d"],"award-info":[{"award-number":["2023D01F28d"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Chem. Inf. Model."],"published-print":{"date-parts":[[2025,5,26]]},"DOI":"10.1021\/acs.jcim.5c00694","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T16:08:51Z","timestamp":1747325331000},"page":"5242-5254","source":"Crossref","is-referenced-by-count":3,"title":["GMAMDA: Predicting Metabolite\u2013Disease Associations Based on Adaptive Hardness Negative Sampling and Adaptive Graph Multiple Convolution"],"prefix":"10.1021","volume":"65","author":[{"given":"Binglu","family":"Hu","sequence":"first","affiliation":[{"name":"College of Software","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Su","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]},{"name":"Xinjiang Aiqiside Detection Technology Co, Ltd","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuecong","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Software","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6739-1937","authenticated-orcid":true,"given":"Cheng","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Software","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6855-7428","authenticated-orcid":true,"given":"Xiaoyi","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Software","place":["Urumqi, China"]},{"name":"Xinjiang University","place":["Urumqi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"316","published-online":{"date-parts":[[2025,5,15]]},"reference":[{"key":"ref1\/cit1","doi-asserted-by":"publisher","DOI":"10.1038\/nm.2307"},{"key":"ref2\/cit2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-immunol-071219-125715"},{"key":"ref3\/cit3","doi-asserted-by":"publisher","DOI":"10.1007\/s00204-010-0609-6"},{"key":"ref4\/cit4","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2020.1928"},{"key":"ref5\/cit5","doi-asserted-by":"publisher","DOI":"10.2337\/dc15-2752"},{"key":"ref6\/cit6","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199409013310901"},{"key":"ref7\/cit7","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199502233320807"},{"key":"ref8\/cit8","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c02276"},{"key":"ref9\/cit9","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae481"},{"key":"ref10\/cit10","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaf075"},{"key":"ref11\/cit11","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c01070"},{"key":"ref12\/cit12","doi-asserted-by":"crossref","unstructured":"Zhu, Q.; Han, C.; Zhu, Q.; He, T.; Jiang, X.In  Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-Disease Association Prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019; pp 628\u2013633.","DOI":"10.1109\/BIBM47256.2019.8983211"},{"key":"ref13\/cit13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106238"},{"key":"ref14\/cit14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab652"},{"key":"ref15\/cit15","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad276"},{"key":"ref16\/cit16","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3264254"},{"key":"ref17\/cit17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3467101"},{"key":"ref18\/cit18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3039502"},{"key":"ref19\/cit19","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3065562"},{"key":"ref20\/cit20","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac266"},{"key":"ref21\/cit21","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac423"},{"key":"ref22\/cit22","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad259"},{"key":"ref23\/cit23","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab1062"},{"key":"ref24\/cit24","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbaa212"},{"key":"ref25\/cit25","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq241"},{"key":"ref26\/cit26","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102563"},{"key":"ref27\/cit27","doi-asserted-by":"publisher","DOI":"10.1016\/j.tree.2014.04.009"},{"key":"ref28\/cit28","doi-asserted-by":"publisher","DOI":"10.1186\/s12915-021-01180-4"},{"key":"ref29\/cit29","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2024.102805"},{"key":"ref30\/cit30","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae168"},{"key":"ref31\/cit31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443253"},{"key":"ref32\/cit32","doi-asserted-by":"crossref","unstructured":"Yang, Z.; Ding, M.; Zhou, C.; Yang, H.; Zhou, J.; Tang, J.In  Understanding Negative Sampling in Graph Representation Learning, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020; pp 1666\u20131676.","DOI":"10.1145\/3394486.3403218"},{"key":"ref33\/cit33","doi-asserted-by":"crossref","unstructured":"Wang, X.; Xu, Y.; He, X.; Cao, Y.; Wang, M.; Chua, T.S.In  Reinforced Negative Sampling Over Knowledge Graph for Recommendation, Proceedings of the Web Conference 2020, 2020; pp 99\u2013109.","DOI":"10.1145\/3366423.3380098"},{"key":"ref34\/cit34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28709"},{"key":"ref35\/cit35","doi-asserted-by":"crossref","unstructured":"Huang, T.; Dong, Y.; Ding, M.; Yang, Z.; Feng, W.; Wang, X.; Tang, J.In  Mixgcf: An Improved Training Method for Graph Neural Network-based Recommender Systems, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021; pp 665\u2013674.","DOI":"10.1145\/3447548.3467408"},{"key":"ref36\/cit36","doi-asserted-by":"publisher","DOI":"10.1186\/s13040-019-0206-z"},{"key":"ref37\/cit37","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2098-1"},{"key":"ref38\/cit38","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa157"},{"key":"ref39\/cit39","first-page":"2579","volume":"9","author":"Van der Maaten L.","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref40\/cit40","doi-asserted-by":"publisher","DOI":"10.1186\/s13024-019-0333-5"},{"key":"ref41\/cit41","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)32205-4"},{"key":"ref42\/cit42","doi-asserted-by":"publisher","DOI":"10.1126\/science.1132814"},{"key":"ref43\/cit43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneuroim.2022.577843"},{"key":"ref44\/cit44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajcnut.2023.01.002"},{"key":"ref45\/cit45","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(21)00519-5"},{"key":"ref46\/cit46","doi-asserted-by":"publisher","DOI":"10.1007\/s00467-013-2634-1"},{"key":"ref47\/cit47","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.10924"},{"key":"ref48\/cit48","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2007040422"},{"key":"ref49\/cit49","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2010080798"},{"key":"ref50\/cit50","doi-asserted-by":"publisher","DOI":"10.1007\/s40620-023-01872-w"},{"key":"ref51\/cit51","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-014-1825-9"}],"container-title":["Journal of Chemical Information and Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.5c00694","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.5c00694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T08:11:34Z","timestamp":1748247094000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jcim.5c00694"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"references-count":51,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,5,26]]}},"alternative-id":["10.1021\/acs.jcim.5c00694"],"URL":"https:\/\/doi.org\/10.1021\/acs.jcim.5c00694","relation":{},"ISSN":["1549-9596","1549-960X"],"issn-type":[{"value":"1549-9596","type":"print"},{"value":"1549-960X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}