{"id":"https://openalex.org/W2854384722","doi":"https://doi.org/10.1145/3227609.3227673","title":"Measuring Graph Reconstruction Precisions","display_name":"Measuring Graph Reconstruction Precisions","publication_year":2018,"publication_date":"2018-06-25","ids":{"openalex":"https://openalex.org/W2854384722","doi":"https://doi.org/10.1145/3227609.3227673","mag":"2854384722"},"language":"en","primary_location":{"id":"doi:10.1145/3227609.3227673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","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/A5050353397","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0001-9610-9526"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xin Liu","raw_affiliation_strings":["National Institute of Advanced, Industrial Science and Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced, Industrial Science and Technology","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076510932","display_name":"Tsuyoshi Murata","orcid":"https://orcid.org/0000-0002-3818-7830"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Murata","raw_affiliation_strings":["Dept. of Computer Science, Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064163755","display_name":"Kyoung\u2010Sook Kim","orcid":"https://orcid.org/0000-0003-0670-8053"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyoung-Sook Kim","raw_affiliation_strings":["National Institute of Advanced, Industrial Science and Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Advanced, Industrial Science and Technology","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050353397"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57709203,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9794999957084656,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6281269788742065},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5995258688926697},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5796404480934143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5622450113296509},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4953068792819977},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.45485734939575195},{"id":"https://openalex.org/keywords/butterfly-graph","display_name":"Butterfly graph","score":0.4474954307079315},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.4399174749851227},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.439355731010437},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.43079686164855957},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42801252007484436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4022153317928314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38750019669532776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3549792468547821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34335464239120483},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.23120105266571045},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2040349245071411}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6281269788742065},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5995258688926697},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5796404480934143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622450113296509},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4953068792819977},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.45485734939575195},{"id":"https://openalex.org/C18819970","wikidata":"https://www.wikidata.org/wiki/Q3035340","display_name":"Butterfly graph","level":5,"score":0.4474954307079315},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.4399174749851227},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.439355731010437},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.43079686164855957},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42801252007484436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4022153317928314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38750019669532776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3549792468547821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34335464239120483},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.23120105266571045},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2040349245071411},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3227609.3227673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321680","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1904633530","https://openalex.org/W2046253692","https://openalex.org/W2090891622","https://openalex.org/W2154851992","https://openalex.org/W2339085491","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2759045585","https://openalex.org/W2950133940","https://openalex.org/W2962756421","https://openalex.org/W2963460103","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W4214926737","https://openalex.org/W4291474301"],"related_works":["https://openalex.org/W3134586934","https://openalex.org/W3209476063","https://openalex.org/W2065459306","https://openalex.org/W2046275336","https://openalex.org/W2108781142","https://openalex.org/W2964544183","https://openalex.org/W2947148979","https://openalex.org/W3034116706","https://openalex.org/W3034530345","https://openalex.org/W4288112289"],"abstract_inverted_index":{"Graph":[0],"embedding":[1],"aims":[2],"at":[3],"learning":[4],"representations":[5],"of":[6,20,47,49,86],"nodes":[7],"in":[8],"a":[9,35,60],"low":[10],"dimensional":[11],"vector":[12],"space.":[13],"Good":[14],"embeddings":[15,77],"should":[16],"preserve":[17,84],"proximity":[18,88],"structure":[19,89],"the":[21,31,40,44,50,56,76,79,87],"original":[22,51],"graph":[23,42,64],"and":[24,90],"thus":[25],"are":[26],"expected":[27],"to":[28,93],"accurately":[29],"reconstruct":[30],"graph.":[32],"We":[33],"propose":[34],"reconstruction":[36,57,96],"procedure":[37],"such":[38],"that":[39,75],"reconstructed":[41],"keeps":[43],"total":[45],"number":[46],"weights":[48],"one.":[52],"Then":[53],"we":[54,73],"assess":[55],"precision":[58],"using":[59],"global":[61],"view":[62],"based":[63],"similarity":[65],"metric":[66],"called":[67],"DeltaCon.":[68],"Based":[69],"on":[70],"this":[71],"metric,":[72],"found":[74],"by":[78],"state-of-the-art":[80],"techniques":[81],"can":[82],"only":[83],"part":[85],"is":[91],"insufficient":[92],"achieve":[94],"high":[95],"accuracy.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}