{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:19Z","timestamp":1730266099841,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191518","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["MocGCL: Molecular Graph Contrastive Learning via Negative Selection"],"prefix":"10.1109","author":[{"given":"Jinhao","family":"Cui","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology Shenzhen,Shenzhen,China"}]},{"given":"Heyan","family":"Chai","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen,Shenzhen,China"}]},{"given":"Yanbin","family":"Gong","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology,Hong Kong,China"}]},{"given":"Ye","family":"Ding","sequence":"additional","affiliation":[{"name":"Dongguan University of Technology,Dongguan,China"}]},{"given":"Zhongyun","family":"Hua","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen,Shenzhen,China"}]},{"given":"Cuiyun","family":"Gao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen,Shenzhen,China"}]},{"given":"Qing","family":"Liao","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen,Shenzhen,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(03)00628-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2016.02.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0045475"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449786"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/path.4282"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.286.5439.531"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/PAP.0000000000000232"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/ci100050t"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM52615.2021.9669609"},{"issue":"2","key":"ref10","first-page":"325","volume-title":"A review on machine learning principles for multi-view biological data integration","volume":"19","author":"Li","year":"2018"},{"key":"ref11","article-title":"How powerful are graph neural networks?","volume-title":"International Conference on Learning Representations","author":"Xu","year":"2018"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv preprint"},{"journal-title":"Graph attention networks","year":"2017","author":"Velickovic","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475622"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747279"},{"key":"ref16","article-title":"A survey of pretraining on graphs: Taxonomy, methods, and applications","author":"Xia","year":"2022","journal-title":"arXiv preprint"},{"key":"ref17","first-page":"5812","article-title":"Graph con-trastive learning with augmentations","volume":"33","author":"You","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref18","first-page":"12121","article-title":"Graph contrastive learning automated","volume-title":"International Conference on Machine Learning","author":"You"},{"key":"ref19","article-title":"Mocl: Contrastive learning on molecular graphs with multi -level domain know ledge","author":"Sun","year":"2021","journal-title":"KDD 2021"},{"issue":"9","key":"ref20","volume":"12","author":"Shervashidze","year":"2011","journal-title":"Weisfeiler-Iehman graph kernels"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3172903"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17293"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512156"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref26","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511810114"},{"key":"ref28","first-page":"531","article-title":"Mutual information neural estimation","volume-title":"International conference on machine learning","author":"Belghazi"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(03)00628-4"},{"issue":"suppl_l","key":"ref30","first-page":"i47","volume-title":"Protein function prediction via graph ker-nels","volume":"21","author":"Borgwardt","year":"2005"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0103-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1021\/jm00106a046"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/jm040835a"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3081010"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"},{"journal-title":"Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization","year":"2019","author":"Sun","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449822"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746085"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191518.pdf?arnumber=10191518","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T15:27:33Z","timestamp":1709306853000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191518\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191518","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}