{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T22:10:34Z","timestamp":1775167834847,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"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":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11229267","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Meta-GraphKAN:Few-Shot Graph Kolmogorov Arnold learning Networks for Molecular Property Prediction"],"prefix":"10.1109","author":[{"given":"Yu","family":"Liu","sequence":"first","affiliation":[{"name":"Inner Mongolia University,College of Computer Science,Hohhot,China"}]},{"given":"Xinqi","family":"Li","sequence":"additional","affiliation":[{"name":"Inner Mongolia University,College of Computer Science,Hohhot,China"}]},{"given":"Xianguo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Inner Mongolia University,College of Computer Science,Hohhot,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/minf.202100113"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.6b00367"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.molliq.2017.11.009"},{"key":"ref4","article-title":"Kagnns: Kolmogorov-arnold networks meet graph learning","author":"Bresson","year":"2024"},{"key":"ref5","article-title":"Kolmogorov-arnold graph neural networks","author":"Carlo","year":"2024"},{"key":"ref6","article-title":"Unicorn: A unified contrastive learning approach for multi-view molecular representation learning","author":"Feng","year":"2024"},{"key":"ref7","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"International conference on machine learning","author":"Finn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.465"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-023-00712-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450112"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btad604"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF02854581"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae394"},{"key":"ref14","article-title":"Strategies for pre-training graph neural networks","author":"Hu","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106369"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/17460441.2021.1901685"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae165"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"ref19","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"ICML deep learning workshop","volume":"2","author":"Koch"},{"issue":"31.10","key":"ref20","first-page":"5281","article-title":"Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling","volume":"8","author":"Landrum","year":"2013","journal-title":"Greg Landrum"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab078"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539426"},{"key":"ref23","article-title":"Kan: Kolmogorov-arnold networks","author":"Liu","year":"2024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3250324"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s43018-020-00169-2"},{"issue":"2","key":"ref26","first-page":"1","article-title":"Artificial intelligence in drug discovery and development","volume":"3","author":"Martin","year":"2021","journal-title":"Advanced Sciences"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2022.105043"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977653.ch91"},{"issue":"3","key":"ref29","first-page":"4","article-title":"Reptile: a scalable metalearning algorithm","volume":"2","author":"Nichol","year":"2018"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/wcms.1597"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-05905-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3582688"},{"key":"ref34","article-title":"Matching networks for one shot learning","volume":"29","author":"Vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c01416"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00447-x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac112"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad003"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1039\/C7SC02664A"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jmedchem.9b00959"},{"key":"ref41","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.107936"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108659"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3327452"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btae118"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-023-00558-4"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbae238"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","location":"Rome, Italy","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11229267.pdf?arnumber=11229267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:30:21Z","timestamp":1763191821000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11229267\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11229267","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}