{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T11:05:19Z","timestamp":1747825519224,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756179"},{"type":"electronic","value":"9789819756186"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-5618-6_23","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:04:18Z","timestamp":1722528258000},"page":"274-286","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Globally Informed Graph Contrastive Learning for Recommendation"],"prefix":"10.1007","author":[{"given":"Yixing","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Chengxi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Junyu","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Yanwei","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Cheng, Z., Ding, Y., Zhu, L., Kankanhalli, M.: Aspect-aware latent factor model: rating prediction with ratings and reviews. In: Proceedings of the 2018 World Wide Web Conference (2018). https:\/\/api.semanticscholar.org\/CorpusID:3458700","DOI":"10.1145\/3178876.3186145"},{"key":"23_CR2","unstructured":"Gilmer, J., Schoenholz, S.S., Riley, P.F., Vinyals, O., Dahl, G.E.: Neural message passing for quantum chemistry. In: International Conference on Machine Learning (2017). https:\/\/api.semanticscholar.org\/CorpusID:9665943"},{"key":"23_CR3","unstructured":"Han, D., Ye, T., Han, Y., Xia, Z., Song, S., Huang, G.: Agent attention: on the integration of softmax and linear attention. arXiv abs\/2312.08874 (2023). https:\/\/api.semanticscholar.org\/CorpusID:266210414"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"He, X., Deng, K., Wang, X., Li, Y., Zhang, Y., Wang, M.: LightGCN: simplifying and powering graph convolution network for recommendation. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (2020). https:\/\/api.semanticscholar.org\/CorpusID:211043589","DOI":"10.1145\/3397271.3401063"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web (2017). https:\/\/api.semanticscholar.org\/CorpusID:13907106","DOI":"10.1145\/3038912.3052569"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Li, C., Xia, L., Ren, X., Ye, Y., Xu, Y., Huang, C.: Graph transformer for recommendation. In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023). https:\/\/api.semanticscholar.org\/CorpusID:259075673","DOI":"10.1145\/3539618.3591723"},{"key":"23_CR7","unstructured":"Li, R., Su, J., Duan, C., Zheng, S.: Linear attention mechanism: an efficient attention for semantic segmentation. arXiv abs\/2007.14902 (2020).https:\/\/api.semanticscholar.org\/CorpusID:220845974"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Nguyen, J.H., Zhu, M.: Content-boosted matrix factorization techniques for recommender systems. Stat. Anal. Data Min. ASA Data Sci. J. 6 (2012). https:\/\/api.semanticscholar.org\/CorpusID:13950344","DOI":"10.1002\/sam.11184"},{"key":"23_CR9","unstructured":"Peng, Y., Fu, C., Yu, Y., Huang, C., Zhao, Z., Dong, J.: Multiplex heterogeneous graph convolutional network. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022). https:\/\/api.semanticscholar.org\/CorpusID:251518130"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Wang, M., Feng, F., Chua, T.S.: Neural graph collaborative filtering. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (2019). https:\/\/api.semanticscholar.org\/CorpusID:150380651","DOI":"10.1145\/3331184.3331267"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Wu, J., et al.: Self-supervised graph learning for recommendation. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (2020). https:\/\/api.semanticscholar.org\/CorpusID:224814335","DOI":"10.1145\/3404835.3462862"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Wu, L., Hu, D.J., Hong, L., Liu, H.: Turning clicks into purchases: revenue optimization for product search in e-commerce. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (2018). https:\/\/api.semanticscholar.org\/CorpusID:13709505","DOI":"10.1145\/3209978.3209993"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Wu, S., Zhang, W., Sun, F., Cui, B.: Graph neural networks in recommender systems: a survey. ACM Comput. Surv. 55, 1\u201337 (2020). https:\/\/api.semanticscholar.org\/CorpusID:226246289","DOI":"10.1145\/3535101"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Xia, J., Wu, L., Chen, J., Hu, B., Li, S.Z.: SimGrace: a simple framework for graphcontrastive learning without data augmentation. In: Proceedings of the ACM Web Conference 2022 (2022). https:\/\/api.semanticscholar.org\/CorpusID:246634345","DOI":"10.1145\/3485447.3512156"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Xia, L., Huang, C., Xu, Y., Zhao, J., Yin, D., Huang, J.: Hypergraph contrastive collaborative filtering. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022).https:\/\/api.semanticscholar.org\/CorpusID:248391943","DOI":"10.1145\/3477495.3532058"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Yin, Y., Wang, Q., Huang, S., Xiong, H., Zhang, X.: AutoGCL: automated graph contrastive learning via learnable view generators. In: AAAI Conference on Artificial Intelligence (2021). https:\/\/api.semanticscholar.org\/CorpusID:237581111","DOI":"10.1609\/aaai.v36i8.20871"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Ying, R., He, R., Chen, K., Eksombatchai, P., Hamilton, W.L., Leskovec, J.: Graph convolutional neural networks for web-scale recommender systems. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2018). https:\/\/api.semanticscholar.org\/CorpusID:46949657","DOI":"10.1145\/3219819.3219890"},{"key":"23_CR18","unstructured":"Yu, J., Xia, X., Chen, T., Zhen Cui, L., Hung, N.Q.V., Yin, H.: XsimGCL: towards extremely simple graph contrastive learning for recommendation. IEEE Trans. Knowl. Data Eng. 36, 913\u2013926 (2022). https:\/\/api.semanticscholar.org\/CorpusID:252089658"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, S., et al.: Deep learning based recommender system. ACM Comput. Surv. (CSUR) 52, 1\u201338 (2017). https:\/\/api.semanticscholar.org\/CorpusID:220264982","DOI":"10.1145\/3285029"},{"key":"23_CR20","unstructured":"Zhu, H., Kapoor, V., Sharma, P.: Reviewing developments of graph convolutional network techniques for recommendation systems. arXiv abs\/2311.06323 (2023).https:\/\/api.semanticscholar.org\/CorpusID:265150527"},{"key":"23_CR21","doi-asserted-by":"crossref","unstructured":"Fu, C., Zheng, G., Huang, C., Yu, Y., Dong, J.: Multiplex heterogeneous graph neural network with behavior pattern modeling. In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023). https:\/\/api.semanticscholar.org\/CorpusID:260499782","DOI":"10.1145\/3580305.3599441"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5618-6_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:17:22Z","timestamp":1722529042000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5618-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756179","9789819756186"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5618-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}