{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:43:19Z","timestamp":1740102199241,"version":"3.37.3"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007747","name":"University of Utah","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007747","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000993","name":"Battelle","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000993","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006227","name":"Lawrence Livermore National Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006227","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,8]]},"DOI":"10.1109\/icip49359.2023.10222089","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T17:58:31Z","timestamp":1694455111000},"page":"2995-2999","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks"],"prefix":"10.1109","author":[{"given":"Samuel","family":"Leventhal","sequence":"first","affiliation":[{"name":"University of Utah,Salt Lake City,UT,USA"}]},{"given":"Attila","family":"Gyulassy","sequence":"additional","affiliation":[{"name":"University of Utah,Salt Lake City,UT,USA"}]},{"given":"Valerio","family":"Pascucci","sequence":"additional","affiliation":[{"name":"University of Utah,Salt Lake City,UT,USA"}]},{"given":"Mark","family":"Heimann","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory,Livermore,CA,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2020.3030363"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2019.2934620"},{"issue":"3","key":"ref3","first-page":"263","article-title":"Application of topological analysis in ocean feature extraction","volume":"35","author":"Xue","year":"2009","journal-title":"Computer Engineering"},{"volume-title":"Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications","year":"2010","author":"Pascucci","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/46\/1\/077"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0227-9"},{"key":"ref7","article-title":"Topology-aware segmentation using discrete Morse theory","author":"Hu","year":"2021","journal-title":"arXiv preprint arXiv:2103.09992"},{"key":"ref8","first-page":"7045","article-title":"Topological autoencoders","volume-title":"International conference on machine learning","author":"Moor"},{"key":"ref9","first-page":"2896","article-title":"Persistence enhanced graph neural network","volume-title":"AISTATS","author":"Zhao"},{"key":"ref10","first-page":"35","article-title":"A user\u2019s guide to discrete Morse theory","volume":"48","author":"Forman","year":"2002","journal-title":"S\u00e9m. Lothar. Combin"},{"article-title":"MSCEER: Morse-Smale complex extraction, exploration, reasoning","year":"2018","author":"Gyulassy","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.2000.892133"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2003.1250365"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2006.57"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5120\/8259-1792"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1982.1171424"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3233\/FI-2000-411207"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3216-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2007.45"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1090\/mbk\/069"},{"article-title":"Supervised community detection with line graph neural networks","volume-title":"ICLR","author":"Chen","key":"ref21"},{"article-title":"Hierarchical graph representation learning with differentiable pooling","volume-title":"NeurIPS","author":"Ying","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3248632"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref25","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"NeurIPS","author":"Hamilton"},{"article-title":"Topological graph neural networks","volume-title":"ICLR","author":"Horn","key":"ref26"},{"article-title":"Graphzoom: A multi-level spectral approach for accurate and scalable graph embedding","volume-title":"ICLR","author":"Deng","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467256"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.exer.2010.04.016"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.118.085501"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-011-9117-y"},{"article-title":"Beyond homophily in graph neural networks: Current limitations and effective designs","volume-title":"NeurIPS","author":"Zhu","key":"ref32"},{"key":"ref33","first-page":"5449","article-title":"Representation learning on graphs with jumping knowledge networks","volume-title":"ICML","author":"Xu"}],"event":{"name":"2023 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2023,10,8]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10221937\/10221892\/10222089.pdf?arnumber=10222089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T20:15:34Z","timestamp":1709324134000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10222089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,8]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icip49359.2023.10222089","relation":{},"subject":[],"published":{"date-parts":[[2023,10,8]]}}}