{"id":"https://openalex.org/W2941265453","doi":"https://doi.org/10.1109/tvcg.2019.2934396","title":"A Deep Generative Model for Graph Layout","display_name":"A Deep Generative Model for Graph Layout","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2941265453","doi":"https://doi.org/10.1109/tvcg.2019.2934396","mag":"2941265453","pmid":"https://pubmed.ncbi.nlm.nih.gov/31425108"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2019.2934396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934396","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.12225","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045378026","display_name":"Oh-Hyun Kwon","orcid":"https://orcid.org/0000-0002-7614-0451"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Oh-Hyun Kwon","raw_affiliation_strings":["University of California, Davis"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["University of California, Davis"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045378026"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":3.4742,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.94249131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"665","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.806318998336792},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6647745370864868},{"id":"https://openalex.org/keywords/graph-layout","display_name":"Graph Layout","score":0.6476587057113647},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6432021260261536},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.600914478302002},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.5414372682571411},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5325521230697632},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46057605743408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.418276846408844},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4164937138557434},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4137507975101471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3893372416496277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806318998336792},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6647745370864868},{"id":"https://openalex.org/C2911174283","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph Layout","level":4,"score":0.6476587057113647},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6432021260261536},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.600914478302002},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.5414372682571411},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5325521230697632},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46057605743408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.418276846408844},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4164937138557434},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4137507975101471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3893372416496277},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2019.2934396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934396","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:31425108","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31425108","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:1904.12225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12225","pdf_url":"https://arxiv.org/pdf/1904.12225","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.12225","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.12225","pdf_url":"https://arxiv.org/pdf/1904.12225","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G28199536","display_name":null,"funder_award_id":"IIS-1741536","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":129,"referenced_works":["https://openalex.org/W1814299","https://openalex.org/W58821284","https://openalex.org/W131619556","https://openalex.org/W170199606","https://openalex.org/W884650706","https://openalex.org/W1503013560","https://openalex.org/W1504716054","https://openalex.org/W1564330171","https://openalex.org/W1584092895","https://openalex.org/W1585160083","https://openalex.org/W1688966418","https://openalex.org/W1836465849","https://openalex.org/W1862093616","https://openalex.org/W1916693793","https://openalex.org/W1928856156","https://openalex.org/W1959608418","https://openalex.org/W1966406768","https://openalex.org/W1967140769","https://openalex.org/W1970754929","https://openalex.org/W1971240015","https://openalex.org/W1971421925","https://openalex.org/W1991701776","https://openalex.org/W1992709202","https://openalex.org/W1994616650","https://openalex.org/W2000856020","https://openalex.org/W2013307517","https://openalex.org/W2015953751","https://openalex.org/W2017537431","https://openalex.org/W2021053884","https://openalex.org/W2026729066","https://openalex.org/W2027842533","https://openalex.org/W2028695285","https://openalex.org/W2035080386","https://openalex.org/W2049335983","https://openalex.org/W2075220720","https://openalex.org/W2097998348","https://openalex.org/W2099471712","https://openalex.org/W2100083479","https://openalex.org/W2102664288","https://openalex.org/W2112090702","https://openalex.org/W2125910575","https://openalex.org/W2132964407","https://openalex.org/W2135415614","https://openalex.org/W2138959470","https://openalex.org/W2140063299","https://openalex.org/W2144803487","https://openalex.org/W2148249409","https://openalex.org/W2150770193","https://openalex.org/W2167482691","https://openalex.org/W2259891323","https://openalex.org/W2408539216","https://openalex.org/W2417433140","https://openalex.org/W2461158874","https://openalex.org/W2529996553","https://openalex.org/W2576577998","https://openalex.org/W2577946330","https://openalex.org/W2606712314","https://openalex.org/W2624431344","https://openalex.org/W2732947513","https://openalex.org/W2751731070","https://openalex.org/W2753738274","https://openalex.org/W2772689190","https://openalex.org/W2785523195","https://openalex.org/W2792210438","https://openalex.org/W2803533564","https://openalex.org/W2804057010","https://openalex.org/W2806115886","https://openalex.org/W2806351858","https://openalex.org/W2811124557","https://openalex.org/W2888650943","https://openalex.org/W2891814056","https://openalex.org/W2892118767","https://openalex.org/W2899771611","https://openalex.org/W2907366006","https://openalex.org/W2951659295","https://openalex.org/W2952574282","https://openalex.org/W2962711740","https://openalex.org/W2962760235","https://openalex.org/W2962767366","https://openalex.org/W2962937159","https://openalex.org/W2963032576","https://openalex.org/W2963285578","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964114465","https://openalex.org/W2964222296","https://openalex.org/W2972646062","https://openalex.org/W3022981850","https://openalex.org/W3098004813","https://openalex.org/W3098269892","https://openalex.org/W3100069540","https://openalex.org/W3125564425","https://openalex.org/W4253665446","https://openalex.org/W4289436753","https://openalex.org/W4289549256","https://openalex.org/W4294558607","https://openalex.org/W4294643831","https://openalex.org/W4297951436","https://openalex.org/W4301874503","https://openalex.org/W4320013936","https://openalex.org/W6600077176","https://openalex.org/W6629873028","https://openalex.org/W6630277461","https://openalex.org/W6637386375","https://openalex.org/W6638667902","https://openalex.org/W6640963894","https://openalex.org/W6674385629","https://openalex.org/W6679070811","https://openalex.org/W6685562342","https://openalex.org/W6726873649","https://openalex.org/W6731270529","https://openalex.org/W6736562241","https://openalex.org/W6738964360","https://openalex.org/W6741121127","https://openalex.org/W6744627333","https://openalex.org/W6745560452","https://openalex.org/W6747620207","https://openalex.org/W6749351710","https://openalex.org/W6750392246","https://openalex.org/W6751310286","https://openalex.org/W6752110883","https://openalex.org/W6752306858","https://openalex.org/W6753331806","https://openalex.org/W6754818960","https://openalex.org/W6754929296","https://openalex.org/W6755153153","https://openalex.org/W6756040250","https://openalex.org/W6757867572","https://openalex.org/W6777060225"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W2031908202","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2766563406","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Different":[0],"layouts":[1,34,89,123],"can":[2],"characterize":[3],"different":[4,37],"aspects":[5],"of":[6,14,53,106,158,164,173,179],"the":[7,51,54,74,110,120,125,132,159,185],"same":[8],"graph.":[9],"Finding":[10],"a":[11,15,30,46,80,85,101,104,116,136,193,201,208],"\"good\"":[12],"layout":[13,47,75],"graph":[16,23,31,86,180,198,209],"is":[17,60,171],"thus":[18],"an":[19,69,96],"important":[20],"task":[21],"for":[22,140],"visualization.":[24,55],"In":[25,128,188],"practice,":[26],"users":[27,67,141],"often":[28,61],"visualize":[29,84,207],"in":[32,87,115],"multiple":[33],"by":[35],"using":[36,90],"methods":[38],"and":[39,63,119,145,155,175],"varying":[40],"parameter":[41],"settings":[42],"until":[43],"they":[44],"find":[45],"that":[48,168],"best":[49],"suits":[50],"purpose":[52],"However,":[56],"this":[57,190],"trial-and-error":[58],"process":[59],"haphazard":[62],"time-consuming.":[64],"To":[65],"provide":[66],"with":[68],"intuitive":[70],"way":[71],"to":[72,82,99,134,142,197,206],"navigate":[73],"design":[76,95],"space,":[77],"we":[78,130],"present":[79],"technique":[81],"systematically":[83],"diverse":[88],"deep":[91],"generative":[92],"models.":[93],"We":[94,149],"encoder-decoder":[97],"architecture":[98],"learn":[100],"model":[102,133,170,204],"from":[103,124,210],"collection":[105],"example":[107],"layouts,":[108,181],"where":[109,200],"encoder":[111],"represents":[112],"training":[113,186],"examples":[114,211],"latent":[117,126,138],"space":[118,139],"decoder":[121],"produces":[122],"space.":[127],"particular,":[129],"train":[131],"construct":[135],"two-dimensional":[137],"easily":[143],"explore":[144],"generate":[146],"various":[147],"layouts.":[148,161],"demonstrate":[150],"our":[151,165,169],"approach":[152,196],"through":[153],"quantitative":[154],"qualitative":[156],"evaluations":[157,166],"generated":[160],"The":[162],"results":[163],"show":[167],"capable":[172],"learning":[174,203],"generalizing":[176],"abstract":[177],"concepts":[178],"not":[182],"just":[183],"memorizing":[184],"examples.":[187],"summary,":[189],"paper":[191],"presents":[192],"fundamentally":[194],"new":[195],"visualization":[199],"machine":[202],"learns":[205],"without":[212],"manually-defined":[213],"heuristics.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}