{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:05Z","timestamp":1740100025260,"version":"3.37.3"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,13]]},"DOI":"10.1109\/isbi48211.2021.9433754","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:14:15Z","timestamp":1621973655000},"page":"1582-1585","source":"Crossref","is-referenced-by-count":0,"title":["A Multilayer Maximum Spanning Tree Kernel For Brain Networks"],"prefix":"10.1109","author":[{"given":"Xiaoxin","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuyun","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759222"},{"key":"ref11","first-page":"585","article-title":"Fast kernels for string and tree matching","author":"vishwanathan","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref12","first-page":"2595","article-title":"A degeneracy framework for graph similarity","author":"polykarpos s l","year":"2018","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2013.03.019"},{"key":"ref4","first-page":"3270","article-title":"Tree-based kernel for graphs with continuous attributes","volume":"29","author":"navarin","year":"2017","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-019-0467-9"},{"key":"ref6","first-page":"3964","article-title":"Retgk: Graph kernels based on return probabilities of random walks","author":"zhang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2946149"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.10.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24282-8_8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.058"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aaaa76"},{"key":"ref9","article-title":"Weisfeiler-lehman graph kernels","volume":"12","author":"shervashidze","year":"2011","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2021,4,13]]},"location":"Nice, France","end":{"date-parts":[[2021,4,16]]}},"container-title":["2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9433749\/9433753\/09433754.pdf?arnumber=9433754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:35Z","timestamp":1652197295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9433754\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/isbi48211.2021.9433754","relation":{},"subject":[],"published":{"date-parts":[[2021,4,13]]}}}