{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:17:06Z","timestamp":1774419426344,"version":"3.50.1"},"reference-count":26,"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\/icassp49660.2025.10887757","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Graph Convolutional Networks with Spatiotemporal Missing Pattern Awareness"],"prefix":"10.1109","author":[{"given":"Bingheng","family":"Pang","sequence":"first","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuoxuan","family":"Liang","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangping","family":"Zheng","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rokia","family":"Abdein","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Time-llm: Time series forecasting by reprogramming large language models","volume-title":"The Twelfth International Conference on Learning Representations","author":"Jin"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679532"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635831"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671760"},{"key":"ref6","article-title":"BRITS: Bidirectional recurrent imputation for time series","volume":"31","author":"Cao","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref7","first-page":"32069","article-title":"Learning to reconstruct missing data from spatiotemporal graphs with sparse observations","volume":"35","author":"Marisca","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","article-title":"Filling the G ap s: Multivariate time series imputation by graph neural networks","volume-title":"International Conference on Learning Representations","author":"Cini"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679775"},{"key":"ref10","article-title":"Graph-based forecasting with missing data through spatiotemporal downsampling","volume-title":"Forty-first International Conference on Machine Learning","author":"Marisca"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6056"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00903-7"},{"key":"ref13","article-title":"Biased temporal convolution graph network for time series forecasting with missing values","volume-title":"The Twelfth International Conference on Learning Representations","author":"Chen"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"ref15","first-page":"22419","article-title":"Autoformer: Decomposition transformers with autocorrelation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105963"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00725"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651906"},{"key":"ref21","article-title":"Discrete graph structure learning for forecasting multiple time series","volume-title":"International Conference on Learning Representations","author":"Shang"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551827"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3268199"},{"key":"ref24","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"International Conference on Learning Representations (ICLR\u201918)","author":"Li"},{"key":"ref25","first-page":"17804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume":"33","author":"Bai","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3672055"}],"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\/10887757.pdf?arnumber=10887757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:49Z","timestamp":1774416169000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10887757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10887757","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}