{"id":"https://openalex.org/W7162556198","doi":"https://doi.org/10.1109/3dv69130.2026.00128","title":"Momentum-Conserving Graph Neural Networks for Deformable Objects","display_name":"Momentum-Conserving Graph Neural Networks for Deformable Objects","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7162556198","doi":"https://doi.org/10.1109/3dv69130.2026.00128"},"language":null,"primary_location":{"id":"doi:10.1109/3dv69130.2026.00128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073461865","display_name":"J WANG","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jiahong Wang","raw_affiliation_strings":["Max Planck Institute for Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097333086","display_name":"Logan Numerow","orcid":"https://orcid.org/0009-0001-1431-7370"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Logan Numerow","raw_affiliation_strings":["ETH Z&#x00FC;rich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055713873","display_name":"Stelian Coros","orcid":"https://orcid.org/0000-0001-6604-4784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stelian Coros","raw_affiliation_strings":["ETH Z&#x00FC;rich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020664641","display_name":"Christian Theobalt","orcid":"https://orcid.org/0000-0001-6104-6625"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Theobalt","raw_affiliation_strings":["Max Planck Institute for Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066183419","display_name":"Vahid Babaei","orcid":"https://orcid.org/0000-0002-1480-9594"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vahid Babaei","raw_affiliation_strings":["Max Planck Institute for Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069328126","display_name":"Bernhard Thomaszewski","orcid":"https://orcid.org/0000-0001-8086-7664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernhard Thomaszewski","raw_affiliation_strings":["ETH Z&#x00FC;rich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83987532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1304","last_page":"1313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4431999921798706,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4431999921798706,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.12530000507831573,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.057500001043081284,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5112000107765198},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45969998836517334},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.31859999895095825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3059999942779541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5889999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670999884605408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45739999413490295},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24390000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv69130.2026.00128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1568806545","https://openalex.org/W1989871863","https://openalex.org/W2024243735","https://openalex.org/W2055035360","https://openalex.org/W2101165370","https://openalex.org/W2110139691","https://openalex.org/W2530006557","https://openalex.org/W2795008545","https://openalex.org/W2886416285","https://openalex.org/W2899283552","https://openalex.org/W2902997149","https://openalex.org/W2964994311","https://openalex.org/W2985630280","https://openalex.org/W3005424491","https://openalex.org/W3022428992","https://openalex.org/W3035668851","https://openalex.org/W3048889784","https://openalex.org/W3083533098","https://openalex.org/W3109394508","https://openalex.org/W3178713097","https://openalex.org/W3178714617","https://openalex.org/W3184248595","https://openalex.org/W4200419217","https://openalex.org/W4311802566","https://openalex.org/W4312833425","https://openalex.org/W4328090019","https://openalex.org/W4385535337","https://openalex.org/W4386066472","https://openalex.org/W4386075961","https://openalex.org/W4388007762","https://openalex.org/W4391677647","https://openalex.org/W4396987717","https://openalex.org/W4402703151","https://openalex.org/W7124245929","https://openalex.org/W7133225329"],"related_works":[],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4],"emerged":[5],"as":[6,46],"a":[7,100,112,120],"versatile":[8],"and":[9,29,48,79,88,103],"efficient":[10],"option":[11],"for":[12],"modeling":[13],"the":[14,38,84],"dynamic":[15],"behavior":[16],"of":[17,41,86,114],"deformable":[18],"materials.":[19],"While":[20],"GNNs":[21,68],"generalize":[22],"readily":[23],"to":[24,35,60],"arbitrary":[25],"shapes,":[26],"mesh":[27],"topologies,":[28],"material":[30],"parameters,":[31],"existing":[32,67],"architectures":[33],"struggle":[34],"correctly":[36],"predict":[37],"temporal":[39],"evolution":[40],"key":[42],"physical":[43],"quantities":[44],"such":[45],"linear":[47,87],"angular":[49,89],"momentum.":[50,90],"In":[51],"this":[52],"work,":[53],"we":[54,104],"propose":[55],"MomentumGNN\u2014a":[56],"novel":[57],"architecture":[58],"designed":[59],"accurately":[61],"track":[62],"momentum":[63,118],"by":[64],"construction.":[65],"Unlike":[66],"that":[69,106],"output":[70],"unconstrained":[71],"nodal":[72],"accelerations,":[73],"our":[74,93,107],"model":[75],"predicts":[76],"per-edge":[77],"stretching":[78],"bending":[80],"impulses":[81],"which":[82],"guarantee":[83],"preservation":[85],"We":[91],"train":[92],"network":[94],"in":[95,111],"an":[96],"unsupervised":[97],"fashion":[98],"using":[99],"physics-based":[101],"loss,":[102],"show":[105],"method":[108],"outperforms":[109],"baselines":[110],"number":[113],"common":[115],"scenarios":[116],"where":[117],"plays":[119],"pivotal":[121],"role.":[122]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-28T00:00:00"}
