{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:12:13Z","timestamp":1774631533329,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679656","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:21Z","timestamp":1729452861000},"page":"2230-2239","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["LAMRec: Label-aware Multi-view Drug Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1411-3041","authenticated-orcid":false,"given":"Yunsen","family":"Tang","sequence":"first","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7475-9739","authenticated-orcid":false,"given":"Ning","family":"Liu","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6721-065X","authenticated-orcid":false,"given":"Haitao","family":"Yuan","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8492-1895","authenticated-orcid":false,"given":"Yonghe","family":"Yan","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4646-2054","authenticated-orcid":false,"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Shandong Research Institute of Industrial Technology, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9658-819X","authenticated-orcid":false,"given":"Weixing","family":"Tan","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8262-8883","authenticated-orcid":false,"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)."},{"key":"e_1_3_2_1_2_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_1_3_1","volume-title":"Andy Schuetz, Walter F Stewart, and Jimeng Sun.","author":"Choi Edward","year":"2016","unstructured":"Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun. 2016. Doctor ai: Predicting clinical events via recurrent neural networks. In Machine learning for healthcare conference. PMLR, 301--318."},{"key":"e_1_3_2_1_4_1","volume-title":"Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart.","author":"Choi Edward","year":"2016","unstructured":"Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart. 2016. Retain: An interpretable predictive model for healthcare using reverse time attention mechanism. Advances in neural information processing systems, Vol. 29 (2016)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocw112"},{"key":"e_1_3_2_1_6_1","volume-title":"What does bert look at? an analysis of bert's attention. arXiv preprint arXiv:1906.04341","author":"Clark Kevin","year":"2019","unstructured":"Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D Manning. 2019. What does bert look at? an analysis of bert's attention. arXiv preprint arXiv:1906.04341 (2019)."},{"key":"e_1_3_2_1_7_1","volume-title":"Elements of Information Theory","author":"Cover TM","unstructured":"TM Cover and JA Thomas. 2006. Elements of Information Theory. Hoboken, NJ, USA: John Wiely & Sons."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580595"},{"key":"e_1_3_2_1_9_1","volume-title":"Dimensionality reduction by learning an invariant mapping. In 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR'06)","author":"Hadsell Raia","unstructured":"Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006. Dimensionality reduction by learning an invariant mapping. In 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR'06), Vol. 2. IEEE, 1735--1742."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_1_11_1","volume-title":"Attention is not explanation. arXiv preprint arXiv:1902.10186","author":"Jain Sarthak","year":"2019","unstructured":"Sarthak Jain and Byron C Wallace. 2019. Attention is not explanation. arXiv preprint arXiv:1902.10186 (2019)."},{"key":"e_1_3_2_1_12_1","volume-title":"Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. arXiv preprint arXiv:2404.04271","author":"Jiang Nan","year":"2024","unstructured":"Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, and Shangguang Wang. 2024. Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. arXiv preprint arXiv:2404.04271 (2024)."},{"key":"e_1_3_2_1_13_1","volume-title":"Leo Anthony Celi, and Roger Mark","author":"Johnson Alistair","year":"2020","unstructured":"Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark. 2020. Mimic-iv. PhysioNet. Available online at: https:\/\/physionet. org\/content\/mimiciv\/1.0\/(accessed August 23, 2021) (2020), 49--55."},{"key":"e_1_3_2_1_14_1","volume-title":"Leo Anthony Celi, and Roger G Mark","author":"Johnson Alistair EW","year":"2016","unstructured":"Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016. MIMIC-III, a freely accessible critical care database. Scientific data, Vol. 3, 1 (2016), 1--9."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17037"},{"key":"e_1_3_2_1_16_1","first-page":"4447","article-title":"Dual contrastive prediction for incomplete multi-view representation learning","volume":"45","author":"Lin Yijie","year":"2022","unstructured":"Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, and Xi Peng. 2022. Dual contrastive prediction for incomplete multi-view representation learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, 4 (2022), 4447--4461.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59410-7_26"},{"key":"e_1_3_2_1_18_1","volume-title":"Hierarchical question-image co-attention for visual question answering. Advances in neural information processing systems","author":"Lu Jiasen","year":"2016","unstructured":"Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh. 2016. Hierarchical question-image co-attention for visual question answering. Advances in neural information processing systems, Vol. 29 (2016)."},{"key":"e_1_3_2_1_19_1","volume-title":"Sparse and constrained attention for neural machine translation. arXiv preprint arXiv:1805.08241","author":"Malaviya Chaitanya","year":"2018","unstructured":"Chaitanya Malaviya, Pedro Ferreira, and Andr\u00e9 FT Martins. 2018. Sparse and constrained attention for neural machine translation. arXiv preprint arXiv:1805.08241 (2018)."},{"key":"e_1_3_2_1_20_1","volume-title":"Medgcn: Graph convolutional networks for multiple medical tasks. arXiv preprint arXiv:1904.00326","author":"Mao Chengsheng","year":"2019","unstructured":"Chengsheng Mao, Liang Yao, and Yuan Luo. 2019. Medgcn: Graph convolutional networks for multiple medical tasks. arXiv preprint arXiv:1904.00326 (2019)."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 6707--6717","author":"Misra Ishan","unstructured":"Ishan Misra and Laurens van der Maaten. 2020. Self-supervised learning of pretext-invariant representations. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 6707--6717."},{"key":"e_1_3_2_1_22_1","volume-title":"Explainable prediction of medical codes from clinical text. arXiv preprint arXiv:1802.05695","author":"Mullenbach James","year":"2018","unstructured":"James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, and Jacob Eisenstein. 2018. Explainable prediction of medical codes from clinical text. arXiv preprint arXiv:1802.05695 (2018)."},{"key":"e_1_3_2_1_23_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_1_24_1","volume-title":"Computers in cardiology","author":"Saeed Mohammed","unstructured":"Mohammed Saeed, Christine Lieu, Greg Raber, and Roger G Mark. 2002. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring. In Computers in cardiology. IEEE, 641--644."},{"key":"e_1_3_2_1_25_1","volume-title":"Bidirectional attention flow for machine comprehension. arXiv preprint arXiv:1611.01603","author":"Seo Minjoon","year":"2016","unstructured":"Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016. Bidirectional attention flow for machine comprehension. arXiv preprint arXiv:1611.01603 (2016)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011126"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings, Part XI 16","author":"Tian Yonglong","year":"2020","unstructured":"Yonglong Tian, Dilip Krishnan, and Phillip Isola. 2020. Contrastive multiview coding. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XI 16. Springer, 776--794."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00131"},{"key":"e_1_3_2_1_29_1","volume-title":"Self-supervised learning from a multi-view perspective. arXiv preprint arXiv:2006.05576","author":"Hubert Tsai Yao-Hung","year":"2020","unstructured":"Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2020. Self-supervised learning from a multi-view perspective. arXiv preprint arXiv:2006.05576 (2020)."},{"key":"e_1_3_2_1_30_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_31_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio et al. 2017. Graph attention networks. stat Vol. 1050 20 (2017) 10--48550."},{"key":"e_1_3_2_1_32_1","volume-title":"Dat Quoc Nguyen, and Anthony Nguyen","author":"Vu Thanh","year":"2020","unstructured":"Thanh Vu, Dat Quoc Nguyen, and Anthony Nguyen. 2020. A label attention model for ICD coding from clinical text. arXiv preprint arXiv:2007.06351 (2020)."},{"key":"e_1_3_2_1_33_1","first-page":"33536","article-title":"Multi-granularity cross-modal alignment for generalized medical visual representation learning","volume":"35","author":"Wang Fuying","year":"2022","unstructured":"Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, and Lequan Yu. 2022. Multi-granularity cross-modal alignment for generalized medical visual representation learning. Advances in Neural Information Processing Systems, Vol. 35 (2022), 33536--33549.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy068"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599178"},{"key":"e_1_3_2_1_36_1","volume-title":"Change matters: Medication change prediction with recurrent residual networks. arXiv preprint arXiv:2105.01876","author":"Yang Chaoqi","year":"2021","unstructured":"Chaoqi Yang, Cao Xiao, Lucas Glass, and Jimeng Sun. 2021. Change matters: Medication change prediction with recurrent residual networks. arXiv preprint arXiv:2105.01876 (2021)."},{"key":"e_1_3_2_1_37_1","volume-title":"Safedrug: Dual molecular graph encoders for recommending effective and safe drug combinations. arXiv preprint arXiv:2105.02711","author":"Yang Chaoqi","year":"2021","unstructured":"Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, and Jimeng Sun. 2021. Safedrug: Dual molecular graph encoders for recommending effective and safe drug combinations. arXiv preprint arXiv:2105.02711 (2021)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583872"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20500-2_36"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.14778\/3654621.3654628"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2986472"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098109"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679656","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679656","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:12Z","timestamp":1750294692000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679656"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":43,"alternative-id":["10.1145\/3627673.3679656","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679656","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}