{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:15:24Z","timestamp":1791303324179,"version":"4.1.0"},"reference-count":191,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tai.2022.3194869","type":"journal-article","created":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T15:37:33Z","timestamp":1659109053000},"page":"2-22","source":"Crossref","is-referenced-by-count":81,"title":["Graph Representation Learning Meets Computer Vision: A Survey"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6876-5072","authenticated-orcid":false,"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5669-9354","authenticated-orcid":false,"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4796-5737","authenticated-orcid":false,"given":"Shuyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"You","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8780-5455","authenticated-orcid":false,"given":"Xu","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6130-2518","authenticated-orcid":false,"given":"Lingling","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Biao","family":"Hou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-10663-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-14974-x"},{"key":"ref4","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard","year":"2016"},{"key":"ref5","article-title":"Convolutional networks for images, speech, and time series","volume-title":"The Handbook of Brain Theory and Neural Networks","volume":"3361","author":"LeCun","year":"1995"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref7","first-page":"1300","article-title":"Multi-label classification using conditional dependency networks","volume-title":"Proc. 22nd Int. Joint Conf. Artif. Intell.","author":"Guo","year":"2011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2979816"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.330"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981333"},{"key":"ref13","article-title":"Representation learning on graphs: Methods and applications","author":"Hamilton","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.231"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0195-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1988.tb01721.x"},{"key":"ref19","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","volume-title":"Proc. 18th Int. Conf. Mach. Learn.","author":"Lafferty","year":"2001"},{"key":"ref20","volume-title":"Probabilistic Graphical Models: Principles and Techniques","author":"Koller","year":"2009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1179"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/72.712151"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/9781118033074"},{"key":"ref26","article-title":"Gated graph sequence neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2016"},{"key":"ref27","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"in Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton","year":"2017"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401092"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1030"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2010350"},{"key":"ref31","first-page":"1993","article-title":"Diffusion-convolutional neural networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Atwood","year":"2016"},{"key":"ref32","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Niepert","year":"2016"},{"key":"ref33","article-title":"How powerful are graph neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"ref35","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gilmer","year":"2017"},{"key":"ref36","article-title":"GEOM-GCN: Geometric graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Pei","year":"2019"},{"key":"ref37","article-title":"Curvature graph network","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ye","year":"2019"},{"key":"ref38","article-title":"FastGCN: Fast learning with graph convolutional networks via importance sampling","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chen","year":"2018"},{"key":"ref39","first-page":"4563","article-title":"Adaptive sampling towards fast graph representation learning","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Huang","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref42","article-title":"Spectral networks and locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Bruna","year":"2013"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18178\/wcse.2019.06.016"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.2200\/s01045ed1v01y202009aim046"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3083089"},{"key":"ref46","article-title":"DropEdge: Towards deep graph convolutional networks on node classification","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Rong","year":"2019"},{"key":"ref47","first-page":"14498","article-title":"Scattering GCN: Overcoming oversmoothness in graph convolutional networks","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Min","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16514"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3104901"},{"key":"ref51","first-page":"1725","article-title":"Simple and deep graph convolutional networks","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"Chen","year":"2020"},{"key":"ref52","article-title":"Graph wavelet neural network","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xu","year":"2019"},{"key":"ref53","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wu","year":"2019"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01650"},{"key":"ref55","first-page":"430","article-title":"Multi-label image classification with a probabilistic label enhancement model","volume-title":"Proc. 30th Conf. Uncertainty Artif. Intell.","author":"Li","year":"2014"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299037"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.138"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.325"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2812605"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.251"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.10"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.323"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00532"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00061"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_34"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6912"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.81"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.160"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.145"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2804345"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2577886"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_42"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref75","article-title":"SketchGCN: Semantic sketch segmentation with graph convolutional networks","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Yang","year":"2020"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01151"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_1"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22796-8_11"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00396"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2958517"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994205"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2973363"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3037361"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2981420"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3135084"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.413"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.491"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139966"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139964"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.200"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00730"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00952"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6937"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01094"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00750"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.352"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.142"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00632"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_41"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00133"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_37"},{"key":"ref103","first-page":"1799","article-title":"Joint training of a convolutional network and a graphical model for human pose estimation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Tompson","year":"2014"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2430335"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.393"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00698"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.229"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.573"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.516"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00132"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00810"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00354"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00371"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01124"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00888"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/ICMCCE51767.2020.00440"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.10.001"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2726188"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00121"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00240"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00902"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_30"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00335"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01196"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00232"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.169"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_22"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.167"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2509979"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018981"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/CCIS.2018.8691250"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.275"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00478"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.344"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01041"},{"key":"ref136","first-page":"2654","article-title":"Out of the box: Reasoning with graph convolution nets for factual visual question answering","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Narasimhan","year":"2018"},{"key":"ref137","first-page":"8334","article-title":"Learning conditioned graph structures for interpretable visual question answering","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Norcliffe-Brown","year":"2018"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00933"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018303"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01340"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00101"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909757"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.09.006"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2785411"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.07.001"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.11.008"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2657007"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2941288"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.08.010"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.04.029"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6243"},{"key":"ref152","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016"},{"key":"ref153","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velikovi","year":"2018"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3055147"},{"key":"ref155","first-page":"6412","article-title":"Graph convolutional policy network for goal-directed molecular graph generation","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"You","year":"2018"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3126668"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298697"},{"key":"ref159","article-title":"Relational inductive biases, deep learning, and graph networks","author":"Battaglia","year":"2018"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0981-7"},{"key":"ref162","first-page":"2171","article-title":"Pixels to graphs by associative embedding","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Newell","year":"2017"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2364919"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_10"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.376"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00717"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2605010"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.03.033"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref170","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Ren","year":"2015"},{"key":"ref171","volume-title":"Immune Optimization Computation: Learning and Recognition","author":"Licheng","year":"2006"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2575"},{"issue":"1","key":"ref173","first-page":"17","article-title":"On the evolution of random graphs","volume":"5","author":"Erds","year":"1960","journal-title":"Publ. Math. Inst. Hung. Acad. Sci."},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-018-0006-z"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(86)90240-X"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2046328"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/3468.867862"},{"key":"ref180","volume-title":"Rebooting AI: Building Artificial Intelligence We Can Trust","author":"Marcus","year":"2019"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1038\/nature06445"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1126\/science.1192788"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.10.035"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1038\/nature14031"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03652-7"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2268"},{"key":"ref187","article-title":"On the bottleneck of graph neural networks and its practical implications","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Alon","year":"2020"},{"key":"ref188","first-page":"10881","article-title":"Graph structure of neural networks","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","author":"You","year":"2020"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3067574"},{"key":"ref190","article-title":"Image multiscale geometric analysis: Theory and applications","author":"Jiao","year":"2008"},{"key":"ref191","article-title":"Neural architecture search with reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zoph","year":"2017"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10023979\/09844822.pdf?arnumber=9844822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:08:40Z","timestamp":1755911320000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9844822\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":191,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tai.2022.3194869","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}