{"id":"https://openalex.org/W3194791070","doi":"https://doi.org/10.1145/3468791.3468819","title":"Graph-based Strategy for Establishing Morphology Similarity","display_name":"Graph-based Strategy for Establishing Morphology Similarity","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3194791070","doi":"https://doi.org/10.1145/3468791.3468819","mag":"3194791070"},"language":"en","primary_location":{"id":"doi:10.1145/3468791.3468819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468791.3468819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"33rd International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002956797","display_name":"Namit Juneja","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Namit Juneja","raw_affiliation_strings":["University at Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000660681","display_name":"Jaros\u0142aw \u017bola","orcid":"https://orcid.org/0000-0002-1686-9697"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaroslaw Zola","raw_affiliation_strings":["University at Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003851078","display_name":"Varun Chandola","orcid":"https://orcid.org/0000-0001-8990-1398"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Chandola","raw_affiliation_strings":["University at Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063564638","display_name":"Olga Wodo","orcid":"https://orcid.org/0000-0003-0969-104X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olga Wodo","raw_affiliation_strings":["University at Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":1.7293,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82830209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9751999974250793,"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/computer-science","display_name":"Computer science","score":0.669123113155365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6510871052742004},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5744353532791138},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5730816721916199},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5226135849952698},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.43935853242874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3211888372898102},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11438030004501343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669123113155365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6510871052742004},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5744353532791138},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5730816721916199},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5226135849952698},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.43935853242874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3211888372898102},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11438030004501343},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468791.3468819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468791.3468819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"33rd International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1981945143","https://openalex.org/W2012459404","https://openalex.org/W2038795960","https://openalex.org/W2065029622","https://openalex.org/W2112193291","https://openalex.org/W2123020022","https://openalex.org/W2128697589","https://openalex.org/W2150511471","https://openalex.org/W2409564679","https://openalex.org/W2609022486","https://openalex.org/W2801835932","https://openalex.org/W2908583339","https://openalex.org/W2960858043","https://openalex.org/W2963485877","https://openalex.org/W2969656782","https://openalex.org/W3002709937","https://openalex.org/W4230327365","https://openalex.org/W4246354968"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2916591301"],"abstract_inverted_index":{"Analysis":[0],"of":[1,10,52,66,82],"morphological":[2],"data":[3,97],"is":[4,25,93,114],"central":[5],"to":[6,75,95,124],"a":[7,26,38,49,53,80],"broad":[8],"class":[9],"scientific":[11],"problems":[12],"in":[13,30,89,104,116],"materials":[14,105],"science,":[15],"astronomy,":[16],"bio-medicine,":[17],"and":[18],"many":[19],"others.":[20],"Understanding":[21],"relationships":[22],"between":[23,44,79,121],"morphologies":[24],"core":[27],"analytical":[28],"task":[29],"such":[31,128],"settings.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"graph-based":[39],"framework":[40,47,92],"for":[41],"measuring":[42],"similarity":[43,78,120],"morphologies.":[45],"Our":[46],"delivers":[48],"novel":[50],"representation":[51],"morphology":[54,83,96],"as":[55,129],"an":[56,73],"augmented":[57],"graph":[58],"that":[59,102,110],"encodes":[60],"application-specific":[61],"knowledge":[62],"through":[63],"the":[64,77,91,118,125],"use":[65],"configurable":[67],"signature":[68],"functions.":[69],"It":[70],"provides":[71],"also":[72],"algorithm":[74],"compute":[76],"pair":[81],"graphs.":[84],"We":[85],"present":[86],"experimental":[87],"results":[88,108],"which":[90],"applied":[94],"from":[98],"high-fidelity":[99],"numerical":[100],"simulations":[101],"emerge":[103],"science.":[106],"The":[107],"demonstrate":[109],"our":[111],"proposed":[112],"measure":[113],"superior":[115],"capturing":[117],"semantic":[119],"morphologies,":[122],"compared":[123],"state-of-the-art":[126],"methods":[127],"FFT-based":[130],"measures.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}