{"id":"https://openalex.org/W4389226223","doi":"https://doi.org/10.3390/e25121611","title":"DyLFG: A Dynamic Network Learning Framework Based on Geometry","display_name":"DyLFG: A Dynamic Network Learning Framework Based on Geometry","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389226223","doi":"https://doi.org/10.3390/e25121611","pmid":"https://pubmed.ncbi.nlm.nih.gov/38136491"},"language":"en","primary_location":{"id":"doi:10.3390/e25121611","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121611","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1611/pdf?version=1701358749","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/12/1611/pdf?version=1701358749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101428331","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0001-5938-9004"},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Changzhou College of Information Technology, Changzhou 213164, China"],"affiliations":[{"raw_affiliation_string":"Changzhou College of Information Technology, Changzhou 213164, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004271076","display_name":"Xuemeng Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuemeng Zhai","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004271076"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.1742,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58069642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"12","first_page":"1611","last_page":"1611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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":0.9983999729156494,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6803196668624878},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6622222065925598},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.6511939167976379},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5864005088806152},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5449957847595215},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49562060832977295},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.4817509651184082},{"id":"https://openalex.org/keywords/network-simulation","display_name":"Network simulation","score":0.4212521016597748},{"id":"https://openalex.org/keywords/evolving-networks","display_name":"Evolving networks","score":0.41986608505249023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35657837986946106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34517598152160645},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.2599639892578125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22196224331855774},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1868857741355896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803196668624878},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6622222065925598},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6511939167976379},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5864005088806152},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5449957847595215},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49562060832977295},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.4817509651184082},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.4212521016597748},{"id":"https://openalex.org/C36647736","wikidata":"https://www.wikidata.org/wiki/Q5418752","display_name":"Evolving networks","level":3,"score":0.41986608505249023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35657837986946106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34517598152160645},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.2599639892578125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22196224331855774},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1868857741355896},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e25121611","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121611","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1611/pdf?version=1701358749","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:38136491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38136491","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10742730","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10742730","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10742730/pdf/entropy-25-01611.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9684cda909d94a44a937a72c7c5c6f37","is_oa":true,"landing_page_url":"https://doaj.org/article/9684cda909d94a44a937a72c7c5c6f37","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 12, p 1611 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e25121611","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25121611","pdf_url":"https://www.mdpi.com/1099-4300/25/12/1611/pdf?version=1701358749","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389226223.pdf","grobid_xml":"https://content.openalex.org/works/W4389226223.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1971215074","https://openalex.org/W2000124739","https://openalex.org/W2021155376","https://openalex.org/W2054723044","https://openalex.org/W2087667141","https://openalex.org/W2127589108","https://openalex.org/W2154851992","https://openalex.org/W2294347342","https://openalex.org/W2393319904","https://openalex.org/W2770604839","https://openalex.org/W2789186812","https://openalex.org/W2808087697","https://openalex.org/W2808908091","https://openalex.org/W2900913542","https://openalex.org/W2903329593","https://openalex.org/W2907192581","https://openalex.org/W2911932738","https://openalex.org/W2962756421","https://openalex.org/W2964199361","https://openalex.org/W2969227524","https://openalex.org/W2970757764","https://openalex.org/W2982490267","https://openalex.org/W2997897037","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W3047449474","https://openalex.org/W3104097132","https://openalex.org/W3113833844","https://openalex.org/W3120712508","https://openalex.org/W3132088380","https://openalex.org/W3175597370","https://openalex.org/W3207802444","https://openalex.org/W4246941204","https://openalex.org/W4284701290","https://openalex.org/W4290945646","https://openalex.org/W4291474301","https://openalex.org/W4294002162","https://openalex.org/W4308888362","https://openalex.org/W6606406289","https://openalex.org/W6650449220","https://openalex.org/W6679208599","https://openalex.org/W6746244326","https://openalex.org/W6767121309","https://openalex.org/W6772216748","https://openalex.org/W6814114727"],"related_works":["https://openalex.org/W4224211792","https://openalex.org/W2386195190","https://openalex.org/W2040899521","https://openalex.org/W4224287209","https://openalex.org/W4293374666","https://openalex.org/W2136583165","https://openalex.org/W2379296826","https://openalex.org/W3011290374","https://openalex.org/W2964069854","https://openalex.org/W1984677721"],"abstract_inverted_index":{"Dynamic":[0],"network":[1,48,61,66,75,119,129,171,192,203,230,266,275],"representation":[2,32,120],"learning":[3,33,121,172],"has":[4],"recently":[5],"attracted":[6],"increasing":[7],"attention":[8,257],"because":[9],"real-world":[10,109],"networks":[11,24,36],"evolve":[12,263],"over":[13,25,97,193],"time,":[14,98],"that":[15,245,282],"is":[16,131,214,246],"nodes":[17,94,184],"and":[18,143,185,259],"edges":[19,186],"join":[20,188],"or":[21,189],"leave":[22],"the":[23,31,44,56,65,70,103,128,140,144,148,153,156,162,191,199,217,225,229,247,250,260,264,274,286,290],"time.":[26,194],"Different":[27],"from":[28,64,216],"static":[29],"networks,":[30,90,181],"of":[34,47,60,86,105,147,155,202,228],"dynamic":[35,58,74,89,118,170,180],"should":[37],"not":[38,99],"only":[39,92],"consider":[40,52],"how":[41,53],"to":[42,54,95,108,136,160,187,197,222,262,269],"capture":[43,55,270],"structural":[45,200],"information":[46,59,201],"snapshots,":[49,204],"but":[50],"also":[51],"temporal":[57,226,256,271],"structure":[62],"evolution":[63],"snapshot":[67,231,276],"sequence.":[68,277],"From":[69],"existing":[71],"work":[72],"on":[73,242,289],"representation,":[76],"there":[77],"are":[78],"two":[79,164],"main":[80],"problems:":[81],"(1)":[82],"A":[83],"significant":[84],"number":[85],"methods":[87,107],"target":[88],"which":[91,101,134,150,182,213],"allow":[93,183],"increase":[96],"decrease,":[100],"reduces":[102],"applicability":[104],"such":[106],"networks.":[110],"(2)":[111],"At":[112],"present,":[113],"most":[114],"network-embedding":[115],"methods,":[116],"especially":[117],"approaches,":[122],"use":[123],"Euclidean":[124],"embedding":[125],"space.":[126],"However,":[127],"itself":[130],"geometrically":[132],"non-Euclidean,":[133],"leads":[135],"geometric":[137],"inconsistencies":[138],"between":[139],"embedded":[141],"space":[142,146],"underlying":[145],"network,":[149],"can":[151],"affect":[152],"performance":[154],"model.":[157],"In":[158,195,220,249],"order":[159,196,221],"solve":[161],"above":[163],"problems,":[165],"we":[166,205,233,253],"propose":[167,234],"a":[168,207,235,255],"geometry-based":[169],"framework,":[173,252],"namely":[174],"DyLFG.":[175],"Our":[176],"proposed":[177,251],"framework":[178],"targets":[179],"exit":[190],"extract":[198],"designed":[206],"new":[208],"hyperbolic":[209],"geometry":[210],"processing":[211],"layer,":[212],"different":[215],"previous":[218],"literature.":[219],"deal":[223],"with":[224],"dynamics":[227,272],"sequence,":[232],"gated":[236],"recurrent":[237],"unit":[238],"(GRU)":[239],"module":[240],"based":[241],"Ricci":[243],"curvature,":[244],"RGRU.":[248],"used":[254],"layer":[258],"RGRU":[261],"neural":[265],"weight":[267],"matrix":[268],"in":[273],"The":[278],"experimental":[279],"results":[280],"showed":[281],"our":[283],"model":[284],"outperformed":[285],"baseline":[287,291],"approaches":[288],"datasets.":[292]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
