{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:28:41Z","timestamp":1774420121418,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10888648","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:52:43Z","timestamp":1741787563000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Self-Supervised Graph Representation Learning for In-The-Wild Wearable and Smartphone based Emotion Recognition"],"prefix":"10.1109","author":[{"given":"Ioannis","family":"Ziogas","sequence":"first","affiliation":[{"name":"Khalifa University of Science and Technology,Dpt. of Biomedical Eng. and Biotechnology,Abu Dhabi,UAE"}]},{"given":"Leontios J.","family":"Hadjileontiadis","sequence":"additional","affiliation":[{"name":"Khalifa University of Science and Technology,Dpt. of Biomedical Eng. and Biotechnology,Abu Dhabi,UAE"}]},{"given":"Ahsan H.","family":"Khandoker","sequence":"additional","affiliation":[{"name":"Khalifa University of Science and Technology,Dpt. of Biomedical Eng. and Biotechnology,Abu Dhabi,UAE"}]},{"given":"Aamna Al","family":"Shehhi","sequence":"additional","affiliation":[{"name":"Khalifa University of Science and Technology,Dpt. of Biomedical Eng. and Biotechnology,Abu Dhabi,UAE"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02248-2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3129340"},{"key":"ref3","article-title":"A Cookbook of SelfSupervised Learning","author":"Balestriero","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2021.100410"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-11258"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2023.3263907"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3387317"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149509"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2023.3263907"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3090040"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054226"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3170559"},{"key":"ref13","first-page":"1","article-title":"Graph Contrastive Learning with Augmentations","author":"You","year":"2020","journal-title":"NeurIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3190083"},{"key":"ref15","article-title":"GraphSAINT: Graph Sampling Based Inductive Learning Method","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Zeng"},{"key":"ref16","article-title":"An Empirical Study of Graph Contrastive Learning","author":"Zhu","year":"2021"},{"key":"ref17","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","volume-title":"5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings","author":"Kipf"},{"issue":"56","key":"ref18","first-page":"1929","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","article-title":"Regularizing Neural Networks by Penalizing Confident Output Distributions","volume-title":"5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings","author":"Pereyra"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1406.3269"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10888648.pdf?arnumber=10888648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:26:31Z","timestamp":1774416391000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10888648\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10888648","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}