{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T17:24:11Z","timestamp":1780075451974,"version":"3.54.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,25]],"date-time":"2025-05-25T00:00:00Z","timestamp":1748131200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,25]],"date-time":"2025-05-25T00:00:00Z","timestamp":1748131200000},"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":[[2025,5,25]]},"DOI":"10.1109\/iscas56072.2025.11043643","type":"proceedings-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T17:42:19Z","timestamp":1751046139000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["MBDS: A MultiBody Dynamics Simulation Dataset for Graph Networks Simulators"],"prefix":"10.1109","author":[{"given":"Sheng","family":"Yang","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyu","family":"Li","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengge","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Software Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junsuo","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Software Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00040-z"},{"key":"ref2","article-title":"Learning the dynamics of physical systems with hamiltonian graph neural networks","volume-title":"ICLR 2023 Workshop on Physics for Machine Learning","author":"Bishnoi"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/acb03e"},{"key":"ref4","first-page":"26256","article-title":"Learning physical dynamics with subequivariant graph neural networks","volume":"35","author":"Han","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","first-page":"8459","article-title":"Learning to simulate complex physics with graph networks","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","volume":"119","author":"Sanchez-Gonzalez"},{"key":"ref6","author":"Wu","year":"2022","journal-title":"Slotformer: Unsupervised visual dynamics simulation with object-centric models"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02276"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN60899.2024.10650066"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref10","first-page":"36","article-title":"3d-intphys: towards more generalized 3d-grounded visual intuitive physics under challenging scenes","author":"Xue","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2024.111297"},{"key":"ref12","article-title":"Learning controllable adaptive simulation for multi-resolution physics","volume-title":"The Eleventh International Conference on Learning Representations, ICLR 2023","author":"Wu"},{"key":"ref13","first-page":"3541","article-title":"Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network","volume-title":"International Conference on Machine Learning, ICML 2023","volume":"202","author":"Cao"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.1130"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SMC54092.2024.10831526"},{"key":"ref16","first-page":"5927","article-title":"Visual grounding of learned physical models","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","volume":"119","author":"Li"},{"key":"ref17","first-page":"2279","article-title":"Contactnets: Learning discontinuous contact dynamics with smooth, implicit repre sentations","volume-title":"Conference on Robot Learning","author":"Pfrommer"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26092"},{"key":"ref19","first-page":"18844","article-title":"Constraint-based graph network simulator","volume-title":"International Conference on Machine Learning, ICML 2022","volume":"162","author":"Rubanova"},{"key":"ref20","first-page":"29949","article-title":"Deep explicit duration switching models for time series","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021","author":"Ansari"},{"key":"ref21","author":"Linkerh\u00e4gner","year":"2023","journal-title":"Grounding graph network simulators using physical sensor observations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599835"},{"key":"ref23","article-title":"Physion: Evaluating physical prediction from vision in humans and machines","volume-title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021","author":"Bear"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SMC54092.2024.10831396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-9443-0_33"}],"event":{"name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"London, United Kingdom","start":{"date-parts":[[2025,5,25]]},"end":{"date-parts":[[2025,5,28]]}},"container-title":["2025 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11043142\/11042930\/11043643.pdf?arnumber=11043643","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T06:01:52Z","timestamp":1751090512000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11043643\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,25]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/iscas56072.2025.11043643","relation":{},"subject":[],"published":{"date-parts":[[2025,5,25]]}}}