{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:12:58Z","timestamp":1757617978298,"version":"3.44.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031927461"},{"type":"electronic","value":"9783031927478"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-92747-8_22","type":"book-chapter","created":{"date-parts":[[2025,5,11]],"date-time":"2025-05-11T16:14:18Z","timestamp":1746980058000},"page":"354-365","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-view Graph Convolutional Network via\u00a0Granular-Ball Computing"],"prefix":"10.1007","author":[{"given":"Weijun","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5241-6647","authenticated-orcid":false,"given":"Taihua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengjie","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huige","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Ding, Y., et al.: TransMVSNet: global context-aware multi-view stereo network with transformers. In: CVPR 2022, pp. 8575\u20138584 (2022)","DOI":"10.1109\/CVPR52688.2022.00839"},{"key":"22_CR2","unstructured":"Tang, H., Liu, Y.: Deep safe incomplete multi-view clustering: theorem and algorithm. In: ICML 2022, vol. 162, pp. 21\u00a0090\u201321\u00a0110 (2022)"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Wu, D., Lu, J., Nie, F., Wang, R., Yuan, Y.: EMGC$${^2}$$F: efficient multi-view graph clustering with comprehensive fusion. In: IJCAI 2022, pp. 3566\u20133572 (2022)","DOI":"10.24963\/ijcai.2022\/495"},{"key":"22_CR4","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.neunet.2023.09.006","volume":"168","author":"Y Chen","year":"2023","unstructured":"Chen, Y., Wu, Z., Chen, Z., Dong, M., Wang, S.: Joint learning of feature and topology for multi-view graph convolutional network. Neural Netw. 168, 161\u2013170 (2023)","journal-title":"Neural Netw."},{"issue":"3","key":"22_CR5","first-page":"3396","volume":"45","author":"J Guo","year":"2023","unstructured":"Guo, J., Sun, Y., Gao, J., Hu, Y., Yin, B.: Logarithmic Schatten-p norm minimization for tensorial multi-view subspace clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(3), 3396\u20133410 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"22_CR6","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TPAMI.2020.3014629","volume":"44","author":"C Tang","year":"2022","unstructured":"Tang, C., et al.: DefusionNet: defocus blur detection via recurrently fusing and refining discriminative multi-scale deep features. IEEE Trans. Pattern Anal. Mach. Intell. 44(2), 955\u2013968 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Fazlali, H., Xu, Y., Ren, Y., Liu, B.: A versatile multi-view framework for lidar-based 3D object detection with guidance from panoptic segmentation. In: CVPR 2022, pp. 17\u00a0171\u201317\u00a0180 (2022)","DOI":"10.1109\/CVPR52688.2022.01668"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"102154","DOI":"10.1016\/j.inffus.2023.102154","volume":"104","author":"M Lupi\u00f3n","year":"2024","unstructured":"Lupi\u00f3n, M., Rodr\u00edguez, A.P., Quero, J.M., Sanjuan, J.F., Ortigosa, P.M.: 3D human pose estimation from multi-view thermal vision sensors. Inf. Fusion 104, 102154 (2024)","journal-title":"Inf. Fusion"},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"106684","DOI":"10.1016\/j.neunet.2024.106684","volume":"180","author":"X Wei","year":"2024","unstructured":"Wei, X., Hu, T., Wu, D., Yang, F., Zhao, C., Lu, Y.: ECCT: efficient contrastive clustering via pseudo-Siamese vision transformer and multi-view augmentation. Neural Netw. 180, 106684 (2024)","journal-title":"Neural Netw."},{"key":"22_CR10","doi-asserted-by":"publisher","first-page":"102175","DOI":"10.1016\/j.inffus.2023.102175","volume":"104","author":"J Bi","year":"2024","unstructured":"Bi, J., Dornaika, F.: Sample-weighted fused graph-based semi-supervised learning on multi-view data. Inf. Fusion 104, 102175 (2024)","journal-title":"Inf. Fusion"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"106438","DOI":"10.1016\/j.neunet.2024.106438","volume":"178","author":"S Wang","year":"2024","unstructured":"Wang, S., Huang, S., Wu, Z., Liu, R., Chen, Y., Zhang, D.: Heterogeneous graph convolutional network for multi-view semi-supervised classification. Neural Netw. 178, 106438 (2024)","journal-title":"Neural Netw."},{"issue":"3","key":"22_CR12","doi-asserted-by":"publisher","first-page":"4017","DOI":"10.1109\/TNNLS.2022.3201562","volume":"35","author":"S Sun","year":"2024","unstructured":"Sun, S., Zhang, N.: Incomplete multiview nonnegative representation learning with graph completion and adaptive neighbors. IEEE Trans. Neural Netw. Learn. Syst. 35(3), 4017\u20134031 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"106717","DOI":"10.1016\/j.engappai.2023.106717","volume":"126","author":"P Zhang","year":"2023","unstructured":"Zhang, P., Zhang, Y., Wang, J., Yin, B.: MVMA-GCN: multi-view multi-layer attention graph convolutional networks. Eng. Appl. Artif. Intell. 126, 106717 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"106648","DOI":"10.1016\/j.neunet.2024.106648","volume":"180","author":"Z Xu","year":"2024","unstructured":"Xu, Z., Chen, W., Zou, Y., Fang, Z., Wang, S.: Attention-based stackable graph convolutional network for multi-view learning. Neural Netw. 180, 106648 (2024)","journal-title":"Neural Netw."},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.inffus.2023.01.001","volume":"93","author":"G Du","year":"2023","unstructured":"Du, G., Zhou, L., Li, Z., Wang, L., L\u00fc, K.: Neighbor-aware deep multi-view clustering via graph convolutional network. Inf. Fusion 93, 330\u2013343 (2023)","journal-title":"Inf. Fusion"},{"key":"22_CR16","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: ICLR 2017 (2017)"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Li, S., Li, W., Wang, W.: Co-GCN for multi-view semi-supervised learning. In: AAAI, vol. 34, pp. 4691\u20134698 (2020)","DOI":"10.1609\/aaai.v34i04.5901"},{"issue":"1","key":"22_CR18","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1109\/TCSVT.2022.3201822","volume":"33","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Chang, D., Fu, Z., Wen, J., Zhao, Y.: Incomplete multiview clustering via cross-view relation transfer. IEEE Trans. Circuits Syst. Video Technol. 33(1), 367\u2013378 (2023)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Yu, H., Tang, J., Wang, G., Gao, X.: A novel multi-view clustering method for unknown mapping relationships between cross-view samples. In: KDD, pp. 2075\u20132083 (2021)","DOI":"10.1145\/3447548.3467294"},{"key":"22_CR20","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.1016\/j.ins.2022.07.136","volume":"609","author":"Z Jiang","year":"2022","unstructured":"Jiang, Z., Liu, X.: Adaptive KNN and graph-based auto-weighted multi-view consensus spectral learning. Inf. Sci. 609, 1132\u20131146 (2022)","journal-title":"Inf. Sci."},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, C., Liu, Y., Liu, Y., Hu, Q., Liu, X., Zhu, P.: FISH-MML: fisher-HSIC multi-view metric learning. In: IJCAI 2018, pp. 3054\u20133060 (2018)","DOI":"10.24963\/ijcai.2018\/424"},{"key":"22_CR22","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.inffus.2023.02.013","volume":"95","author":"Z Chen","year":"2023","unstructured":"Chen, Z., Fu, L., Yao, J., Guo, W., Plant, C., Wang, S.: Learnable graph convolutional network and feature fusion for multi-view learning. Inf. Fusion 95, 109\u2013119 (2023)","journal-title":"Inf. Fusion"},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Cheng, D., Li, Y., Xia, S., Wang, G., Huang, J., Zhang, S.: A fast granular-ball-based density peaks clustering algorithm for large-scale data. IEEE Trans. Neural Netw. Learn. Syst. (2023)","DOI":"10.1109\/TNNLS.2023.3300916"},{"key":"22_CR24","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.ins.2019.01.010","volume":"483","author":"S Xia","year":"2019","unstructured":"Xia, S., Liu, Y., Ding, X., Wang, G., Yu, H., Luo, Y.: Granular ball computing classifiers for efficient, scalable and robust learning. Inf. Sci. 483, 136\u2013152 (2019)","journal-title":"Inf. Sci."},{"issue":"4","key":"22_CR25","doi-asserted-by":"publisher","first-page":"5319","DOI":"10.1109\/TNNLS.2022.3203381","volume":"35","author":"S Xia","year":"2024","unstructured":"Xia, S., Dai, X., Wang, G., Gao, X., Giem, E.: An efficient and adaptive granular-ball generation method in classification problem. IEEE Trans. Neural Netw. Learn. Syst. 35(4), 5319\u20135331 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"4","key":"22_CR26","doi-asserted-by":"publisher","first-page":"2144","DOI":"10.1109\/TNNLS.2021.3105984","volume":"34","author":"S Xia","year":"2023","unstructured":"Xia, S., Zheng, S., Wang, G., Gao, X., Wang, B.: Granular ball sampling for noisy label classification or imbalanced classification. IEEE Trans. Neural Netw. Learn. Syst. 34(4), 2144\u20132155 (2023)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"9","key":"22_CR27","doi-asserted-by":"publisher","first-page":"9743","DOI":"10.1109\/TKDE.2023.3249475","volume":"35","author":"J Xie","year":"2023","unstructured":"Xie, J., Kong, W., Xia, S., Wang, G., Gao, X.: An efficient spectral clustering algorithm based on granular-ball. IEEE Trans. Knowl. Data Eng. 35(9), 9743\u20139753 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"22_CR28","doi-asserted-by":"publisher","first-page":"103708","DOI":"10.1016\/j.artint.2022.103708","volume":"307","author":"K Yao","year":"2022","unstructured":"Yao, K., Liang, J., Liang, J., Li, M., Cao, F.: Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307, 103708 (2022)","journal-title":"Artif. Intell."},{"issue":"3","key":"22_CR29","first-page":"2220","volume":"35","author":"B Liu","year":"2023","unstructured":"Liu, B., Che, Z., Zhong, H., Xiao, Y.: A ranking based multi-view method for positive and unlabeled graph classification. IEEE Trans. Knowl. Data Eng. 35(3), 2220\u20132230 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7","key":"22_CR30","doi-asserted-by":"publisher","first-page":"2496","DOI":"10.1109\/TPAMI.2020.2973634","volume":"43","author":"X Jia","year":"2021","unstructured":"Jia, X., et al.: Semi-supervised multi-view deep discriminant representation learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7), 2496\u20132509 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR31","doi-asserted-by":"publisher","first-page":"121298","DOI":"10.1016\/j.eswa.2023.121298","volume":"236","author":"J Liu","year":"2024","unstructured":"Liu, J., Cao, F., Jing, X., Liang, J.: Deep multi-view graph clustering network with weighting mechanism and collaborative training. Expert Syst. Appl. 236, 121298 (2024)","journal-title":"Expert Syst. Appl."},{"key":"22_CR32","doi-asserted-by":"crossref","unstructured":"Nie, F., Cai, G., Li, X.: Multi-view clustering and semi-supervised classification with adaptive neighbours. In: AAAI, pp. 2408\u20132414 (2017)","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"22_CR33","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.patcog.2018.11.015","volume":"88","author":"M Yang","year":"2019","unstructured":"Yang, M., Deng, C., Nie, F.: Adaptive-weighting discriminative regression for multi-view classification. Pattern Recognit. 88, 236\u2013245 (2019)","journal-title":"Pattern Recognit."}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-92747-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T14:25:46Z","timestamp":1757168746000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-92747-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031927461","9783031927478"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-92747-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rough Sets","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chongqing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcrs2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ijcrs2025.cqupt.edu.cn","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}