{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T15:01:59Z","timestamp":1783350119566,"version":"3.54.6"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tkde.2021.3106804","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T20:29:32Z","timestamp":1629836972000},"page":"1-1","source":"Crossref","is-referenced-by-count":26,"title":["Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation"],"prefix":"10.1109","author":[{"given":"Lu","family":"Bai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhang","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Rossi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edwin","family":"Hancock","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2782278"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2019264"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.145"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1142\/SMPAI"},{"key":"ref8","article-title":"Convolution kernels on discrete structures","author":"Haussler","year":"1999"},{"key":"ref9","first-page":"1","article-title":"Weisfeiler-Lehman graph kernels","volume":"1","author":"Shervashidze","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref10","first-page":"291","article-title":"Subgraph matching kernels for attributed graphs","volume-title":"Proc. 29th Int. Conf. Mach. Learn.","author":"Kriege"},{"key":"ref11","first-page":"30","article-title":"An aligned subtree kernel for weighted graphs","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Bai"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-42999-1","volume-title":"Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets","author":"Lu","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref14","article-title":"Classifying graphs as images with convolutional neural networks","volume-title":"CoRR","author":"Tixier","year":"2017"},{"key":"ref15","first-page":"2449","article-title":"Spectral representations for convolutional neural networks","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Rippel"},{"key":"ref16","article-title":"Generalizing the convolution operator to extend CNNs to irregular domains","volume-title":"CoRR","author":"Vialatte","year":"2016"},{"key":"ref17","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Duvenaud"},{"key":"ref18","first-page":"1993","article-title":"Diffusion-convolutional neural networks","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Atwood"},{"key":"ref19","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Niepert"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref21","article-title":"Deep learning on graphs: A survey","volume-title":"CoRR","author":"Zhang","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.58.915"},{"key":"ref23","volume-title":"Quantum Information Theory","author":"Wilde","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44848-9_7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_179061"},{"key":"ref26","article-title":"Does quantum interference exist in Twitter?","author":"Shuai","year":"2011","journal-title":"CoRR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2507132"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2863709"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330953"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcta.2013.05.006"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.06.016"},{"key":"ref32","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten","year":"2011"},{"key":"ref33","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"CoRR","author":"Kipf","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkh081"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1021\/jm00106a046"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(03)00628-4"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0103-5"},{"key":"ref38","article-title":"Benchmark data sets for graph kernels","author":"Kersting","year":"2008"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/360"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.132"},{"key":"ref41","first-page":"321","article-title":"Marginalized kernels between labeled graphs","volume-title":"Proc. 20th Int. Conf. Mach. Learn.","author":"Kashima"},{"key":"ref42","first-page":"488","article-title":"Efficient graphlet kernels for large graph comparison","volume":"5","author":"Shervashidze","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5517-9"},{"key":"ref44","first-page":"148","article-title":"Learning by transduction","volume-title":"Proc. 14th Conf. Uncertainty Artif. Intell.","author":"Gammerman"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178777"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref47","article-title":"Graph capsule convolutional neural networks","volume-title":"CoRR","author":"Verma","year":"2018"},{"key":"ref48","first-page":"2191","article-title":"Anonymous walk embeddings","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Ivanov"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.5555\/3327345.3327389"},{"key":"ref50","first-page":"3734","article-title":"Self-attention graph pooling","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Lee"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330950"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.08.019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09521820.pdf?arnumber=9521820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:49:33Z","timestamp":1705013373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9521820\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3106804","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}