{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:27:29Z","timestamp":1742963249175,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781858"},{"type":"electronic","value":"9783031781865"}],"license":[{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,30]],"date-time":"2024-11-30T00:00:00Z","timestamp":1732924800000},"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\/978-3-031-78186-5_5","type":"book-chapter","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T14:16:59Z","timestamp":1732889819000},"page":"65-80","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feature Balance Method for\u00a0Multi-modal Entity Alignment"],"prefix":"10.1007","author":[{"given":"Wei","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuohao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,30]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Alberts, H., Huang, T., Deshpande, Y., Liu, Y., Cho, K., Vania, C., Calixto, I.: Visualsem: a high-quality knowledge graph for vision and language. arXiv preprint arXiv:2008.09150 (2020)","DOI":"10.18653\/v1\/2021.mrl-1.13"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: Dbpedia: a nucleus for a web of open data. In: ISWC, pp. 722\u2013735. Springer (2007)","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"5_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/978-3-030-55130-8_12","volume-title":"Knowledge Science, Engineering and Management","author":"L Chen","year":"2020","unstructured":"Chen, L., Li, Z., Wang, Y., Xu, T., Wang, Z., Chen, E.: MMEA: entity alignment for multi-modal knowledge graph. In: Li, G., Shen, H.T., Yuan, Y., Wang, X., Liu, H., Zhao, X. (eds.) KSEM 2020. LNCS (LNAI), vol. 12274, pp. 134\u2013147. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-55130-8_12"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Chen, L., Li, Z., Xu, T., Wu, H., Wang, Z., Yuan, N.J., Chen, E.: Multi-modal siamese network for entity alignment. In: Proc. 28th ACM SIGKDD Conf. Knowl. Discov. Data Min. pp. 118\u2013126 (2022)","DOI":"10.1145\/3534678.3539244"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Chen, M., Tian, Y., Yang, M., Zaniolo, C.: Multilingual knowledge graph embeddings for cross-lingual knowledge alignment. arXiv preprint arXiv:1611.03954 (2016)","DOI":"10.24963\/ijcai.2017\/209"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Chen, X., Shrivastava, A., Gupta, A.: Neil: Extracting visual knowledge from web data. In: Proc. IEEE Int. Conf. Comput. Vis., pp. 1409\u20131416 (2013)","DOI":"10.1109\/ICCV.2013.178"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Chen, Z., et al.: Meaformer: Multi-modal entity alignment transformer for meta modality hybrid. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 3317\u20133327 (2023)","DOI":"10.1145\/3581783.3611786"},{"key":"5_CR8","unstructured":"Chen, Z., et al.: The power of noise: toward a unified multi-modal knowledge graph representation framework. arXiv preprint arXiv:2403.06832 (2024)"},{"key":"5_CR9","doi-asserted-by":"publisher","unstructured":"Chen, Z., et al.: Rethinking uncertainly missing and ambiguous visual modality in multi-modal entity alignment. In: Intl. Semantic Web Conf., pp. 121\u2013139. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-47240-4_7","DOI":"10.1007\/978-3-031-47240-4_7"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Chen, Z., Huang, Y., Chen, J., Geng, Y., Zhang, W., Fang, Y., Pan, J.Z., Chen, H.: Duet: Cross-modal semantic grounding for contrastive zero-shot learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a037, pp. 405\u2013413 (2023)","DOI":"10.1609\/aaai.v37i1.25114"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Ding, Y., Yu, J., Liu, B., Hu, Y., Cui, M., Wu, Q.: Mukea: multimodal knowledge extraction and accumulation for knowledge-based visual question answering. In: Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit., pp. 5089\u20135098 (2022)","DOI":"10.1109\/CVPR52688.2022.00503"},{"key":"5_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/978-3-319-68204-4_8","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"S Ferrada","year":"2017","unstructured":"Ferrada, S., Bustos, B., Hogan, A.: IMGpedia: a linked dataset with content-based analysis of wikimedia images. In: d\u2019Amato, C., Fernandez, M., Tamma, V., Lecue, F., Cudr\u00e9-Mauroux, P., Sequeda, J., Lange, C., Heflin, J. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 84\u201393. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68204-4_8"},{"key":"5_CR13","unstructured":"Goldberger, J., Hinton, G.E., Roweis, S., Salakhutdinov, R.R.: Neighbourhood components analysis. Advances in neural information processing systems 17 (2004)"},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1016\/j.neucom.2021.03.132","volume":"461","author":"H Guo","year":"2021","unstructured":"Guo, H., Tang, J., Zeng, W., Zhao, X., Liu, L.: Multi-modal entity alignment in hyperbolic space. Neurocomputing 461, 598\u2013607 (2021)","journal-title":"Neurocomputing"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"5_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/978-3-030-88361-4_7","volume-title":"The Semantic Web \u2013 ISWC 2021","author":"R Koner","year":"2021","unstructured":"Koner, R., Li, H., Hildebrandt, M., Das, D., Tresp, V., G\u00fcnnemann, S.: Graphhopper: multi-hop scene graph reasoning for visual question answering. In: Hotho, A., Blomqvist, E., Dietze, S., Fokoue, A., Ding, Y., Barnaghi, P., Haller, A., Dragoni, M., Alani, H. (eds.) ISWC 2021. LNCS, vol. 12922, pp. 111\u2013127. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-88361-4_7"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Li, M., et\u00a0al.: Gaia: a fine-grained multimedia knowledge extraction system. In: Proc. 58th Annu. Meet. Assoc. Comput. Linguist.: Syst. Demonstrations, pp. 77\u201386 (2020)","DOI":"10.18653\/v1\/2020.acl-demos.11"},{"key":"5_CR18","unstructured":"Lin, Z., Zhang, Z., Wang, M., Shi, Y., Wu, X., Zheng, Y.: Multi-modal contrastive representation learning for entity alignment. arXiv preprint arXiv:2209.00891 (2022)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Liu, F., Chen, M., Roth, D., Collier, N.: Visual pivoting for (unsupervised) entity alignment. In: Proc. AAAI Conf. Artif. Intell., vol.\u00a035, pp. 4257\u20134266 (2021)","DOI":"10.1609\/aaai.v35i5.16550"},{"key":"5_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/978-3-030-21348-0_30","volume-title":"The Semantic Web","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Li, H., Garcia-Duran, A., Niepert, M., Onoro-Rubio, D., Rosenblum, D.S.: MMKG: multi-modal knowledge graphs. In: Hitzler, P., Fern\u00e1ndez, M., Janowicz, K., Zaveri, A., Gray, A.J.G., Lopez, V., Haller, A., Hammar, K. (eds.) ESWC 2019. LNCS, vol. 11503, pp. 459\u2013474. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21348-0_30"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Ma, Y., et al.: Mmekg: multi-modal event knowledge graph towards universal representation across modalities. Assoc. Comput. Linguist. (2022)","DOI":"10.18653\/v1\/2022.acl-demo.23"},{"key":"5_CR22","unstructured":"Mahdisoltani, F., Biega, J., Suchanek, F.M.: Yago3: a knowledge base from multilingual wikipedias. In: CIDR (2013)"},{"key":"5_CR23","unstructured":"O\u00f1oro-Rubio, D., Niepert, M., Garc\u00eda-Dur\u00e1n, A., Gonz\u00e1lez, R., L\u00f3pez-Sastre, R.J.: Answering visual-relational queries in web-extracted knowledge graphs. arXiv preprint arXiv:1709.02314 (2017)"},{"key":"5_CR24","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: ICML, pp. 8748\u20138763. PMLR (2021)"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Sun, R., et al.: Multi-modal knowledge graphs for recommender systems. In: Proc. 29th ACM Int. Conf. Inf. Knowl. Manag., pp. 1405\u20131414 (2020)","DOI":"10.1145\/3340531.3411947"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Sun, Z., Hu, W., Zhang, Q., Qu, Y.: Bootstrapping entity alignment with knowledge graph embedding. In: IJCAI, vol.\u00a018 (2018)","DOI":"10.24963\/ijcai.2018\/611"},{"key":"5_CR27","doi-asserted-by":"crossref","unstructured":"Trisedya, B.D., Qi, J., Zhang, R.: Entity alignment between knowledge graphs using attribute embeddings. In: Proc. of AAAI, vol.\u00a033, pp. 297\u2013304 (2019)","DOI":"10.1609\/aaai.v33i01.3301297"},{"key":"5_CR28","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)"},{"key":"5_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2020.100159","volume":"22","author":"M Wang","year":"2020","unstructured":"Wang, M., Wang, H., Qi, G., Zheng, Q.: Richpedia: a large-scale, comprehensive multi-modal knowledge graph. Big Data Res. 22, 100159 (2020)","journal-title":"Big Data Res."},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"Wang, Z., Lv, Q., Lan, X., Zhang, Y.: Cross-lingual knowledge graph alignment via graph convolutional networks. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 349\u2013357 (2018)","DOI":"10.18653\/v1\/D18-1032"},{"issue":"2","key":"5_CR31","first-page":"449","volume":"47","author":"Y Wei","year":"2016","unstructured":"Wei, Y., Zhao, Y., Lu, C., Wei, S., Liu, L., Zhu, Z., Yan, S.: Cross-modal retrieval with cnn visual features: a new baseline. IEEE Trans. Cybern. 47(2), 449\u2013460 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"5_CR32","doi-asserted-by":"crossref","unstructured":"Wen, H., et\u00a0al.: Resin: a dockerized schema-guided cross-document cross-lingual cross-media information extraction and event tracking system. In: Proc. 2021 Conf. North Am. Chapter Assoc. Comput. Linguist.: Hum. Lang. Technol.: Demonstrations, pp. 133\u2013143 (2021)","DOI":"10.18653\/v1\/2021.naacl-demos.16"},{"key":"5_CR33","doi-asserted-by":"crossref","unstructured":"Xu, K., et al.: Cross-lingual knowledge graph alignment via graph matching neural network. arXiv preprint arXiv:1905.11605 (2019)","DOI":"10.18653\/v1\/P19-1304"},{"key":"5_CR34","doi-asserted-by":"crossref","unstructured":"Yang, H.W., Zou, Y., Shi, P., Lu, W., Lin, J., Sun, X.: Aligning cross-lingual entities with multi-aspect information. arXiv preprint arXiv:1910.06575 (2019)","DOI":"10.18653\/v1\/D19-1451"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78186-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T15:11:07Z","timestamp":1732893067000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78186-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,30]]},"ISBN":["9783031781858","9783031781865"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78186-5_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,30]]},"assertion":[{"value":"30 November 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"}}]}}