{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:50:31Z","timestamp":1743101431142,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781063"},{"type":"electronic","value":"9783031781070"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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\/978-3-031-78107-0_25","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T19:31:30Z","timestamp":1733081490000},"page":"392-404","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Vision DualGNN: Semantic Graph Is Not Only You Need"],"prefix":"10.1007","author":[{"given":"Xiaolong","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianming","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhitao","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukuan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Liu, S., Deng, W.: Very deep convolutional neural network based image classification using small training sample size. In: ACPR, pp. 730\u2013734 (2015)","DOI":"10.1109\/ACPR.2015.7486599"},{"key":"25_CR3","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NeurIPS (2017)"},{"key":"25_CR4","unstructured":"Dosovitskiy, A., et al.: An image is worth 16$$\\times $$16 words: transformers for image recognition at scale. In: ICLR (2021)"},{"key":"25_CR5","unstructured":"Vasu, P.K.A., Gabriel, J., Zhu, J., Tuzel, O., Ranjan, A.: A Fast hybrid vision transformer using structural reparameterization. In: ICCV, FastViT (2023)"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Wang, A., Chen, H., Lin, Z., Han, J., Ding, G.: Revisiting mobile CNN From ViT Perspective. In: CVPR, RepViT (2024)","DOI":"10.1109\/CVPR52733.2024.01506"},{"key":"25_CR7","unstructured":"Kofinas, M., et al.: Graph neural networks for learning equivariant representations of neural networks. In: ICLR (2024)"},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, Z., et al.: Object relational graph with teacher-recommended learning for video captioning. In: CVPR, pp. 13275\u201313285 (2020)","DOI":"10.1109\/CVPR42600.2020.01329"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Han, Y., Wang, P., Kundu, S., Ding, Y., Wang, Z.: Vision HGNN: an image is more than a graph of nodes. In: ICCV, pp. 19878\u201319888 (2023)","DOI":"10.1109\/ICCV51070.2023.01820"},{"key":"25_CR10","first-page":"8291","volume":"35","author":"K Han","year":"2022","unstructured":"Han, K., Wang, Y., Guo, J., Tang, Y., Enhua, W.: Vision GNN: an image is worth graph of nodes. NeurIPS 35, 8291\u20138303 (2022)","journal-title":"NeurIPS"},{"key":"25_CR11","doi-asserted-by":"publisher","unstructured":"Ding, M., Xiao, B., Codella, N., Luo, P., Wang, J., Yuan, L.: DaViT: dual attention vision transformers. In: ECCV, pp. 74-92 (2022). https:\/\/doi.org\/10.1007\/978-3-031-20053-3_5","DOI":"10.1007\/978-3-031-20053-3_5"},{"key":"25_CR12","unstructured":"Guo, L., Sun, Z., Zhang, Q., Chen, H.: Dual-Encoding Transformer for Graphs. ICLR, Reach the Remote Neighbors (2023)"},{"key":"25_CR13","unstructured":"Tang, S., Zhang, J., Zhu, S., Tan, P.: Quadtree attention for vision transformers. In: ICLR (2022)"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Pan, X., Ye, T., Xia, Z., Song, S., Huang, G.: Slide-Transformer: hierarchical vision transformer with local self-attention. In: CVPR, pp. 2082\u20132091 (2023)","DOI":"10.1109\/CVPR52729.2023.00207"},{"key":"25_CR15","unstructured":"Xia, Z., Yang, H., Wang, B., Jia, J.: GraphGuard: provably robust graph classification against adversarial attacks. In: ICLR (2024)"},{"key":"25_CR16","unstructured":"Zhao, K., Kang, Q., Song, Y., She, R., Wang, S., Tay, W.: Adversarial robustness in graph neural networks: a Hamiltonian approach. In: NeurIPS, pp. 3338\u20133361 (2023)"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Tan, Q., Zhang, X., Liu, N., et al.: Bring your own view: graph neural networks for link prediction with personalized subgraph selection. In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, pp. 625\u2013633 (2023)","DOI":"10.1145\/3539597.3570407"},{"key":"25_CR18","unstructured":"Wu, Q., Yang, C., Zhao, W., He, Y., Wipf, D., Yan, J.: DIFFormer: scalable (graph) transformers induced by energy constrained diffusion. In: ICLR (2023)"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Jung, C., Kwon, G., Ye, J.C.: Patch-wise graph contrastive learning for image translation. In: AAAI (2024)","DOI":"10.1609\/aaai.v38i12.29199"},{"key":"25_CR20","unstructured":"Touvron, H., Cord, M., Douze, M., Massa, F., Sablayrolles, A., J\u00e9gou, H.: Training data-efficient image transformers & distillation through attention. In: ICML (2021)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78107-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T20:05:47Z","timestamp":1733083547000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78107-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031781063","9783031781070"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78107-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}