{"id":"https://openalex.org/W4312410287","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892102","title":"Spectral Bounds for Graph Echo State Network Stability","display_name":"Spectral Bounds for Graph Echo State Network Stability","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312410287","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892102"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892102","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5068896301","display_name":"Domenico Tortorella","orcid":"https://orcid.org/0000-0003-3910-7713"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Domenico Tortorella","raw_affiliation_strings":["University of Pisa,Department of Computer Science,Pisa,Italy","Department of Computer Science, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Computer Science,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011604061","display_name":"Claudio Gallicchio","orcid":"https://orcid.org/0000-0002-6692-2564"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Gallicchio","raw_affiliation_strings":["University of Pisa,Department of Computer Science,Pisa,Italy","Department of Computer Science, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Computer Science,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010923663","display_name":"Alessio Micheli","orcid":"https://orcid.org/0000-0001-5764-5238"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Micheli","raw_affiliation_strings":["University of Pisa,Department of Computer Science,Pisa,Italy","Department of Computer Science, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Computer Science,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068896301"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.7271,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71907994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.623379111289978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5692265033721924},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5679188370704651},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5363600850105286},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.5230544805526733},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49909281730651855},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.484203577041626},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.45429933071136475},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.452178955078125},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35152432322502136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30573296546936035},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2066774070262909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1617971956729889},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.13881412148475647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06413164734840393}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.623379111289978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5692265033721924},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5679188370704651},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5363600850105286},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.5230544805526733},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49909281730651855},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.484203577041626},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.45429933071136475},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.452178955078125},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35152432322502136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30573296546936035},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2066774070262909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1617971956729889},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.13881412148475647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06413164734840393},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892102","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1185947","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1185947","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W19684845","https://openalex.org/W1514337951","https://openalex.org/W1980431326","https://openalex.org/W1989312953","https://openalex.org/W2008857988","https://openalex.org/W2034618876","https://openalex.org/W2036451492","https://openalex.org/W2042489792","https://openalex.org/W2116341502","https://openalex.org/W2118706537","https://openalex.org/W2125091774","https://openalex.org/W2127827747","https://openalex.org/W2129195182","https://openalex.org/W2142498761","https://openalex.org/W2148520247","https://openalex.org/W2153513200","https://openalex.org/W2153988305","https://openalex.org/W2162630660","https://openalex.org/W2166681504","https://openalex.org/W2171865010","https://openalex.org/W2177933918","https://openalex.org/W2480854438","https://openalex.org/W2611165208","https://openalex.org/W2611445505","https://openalex.org/W2887258823","https://openalex.org/W2907492528","https://openalex.org/W2921881408","https://openalex.org/W2997785591","https://openalex.org/W2997992893","https://openalex.org/W3042313988","https://openalex.org/W3058788517","https://openalex.org/W3090264346","https://openalex.org/W3214897310","https://openalex.org/W6678914686","https://openalex.org/W6681029592","https://openalex.org/W6780444311"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W2010974764","https://openalex.org/W4386848428","https://openalex.org/W1996014987","https://openalex.org/W4205631599","https://openalex.org/W2967225774","https://openalex.org/W4292972806","https://openalex.org/W4378214616","https://openalex.org/W2137783571","https://openalex.org/W3048028252"],"abstract_inverted_index":{"Graph":[0],"echo":[1,43],"state":[2,44],"networks":[3],"(GESN)":[4],"are":[5],"a":[6,28,32,39],"class":[7],"of":[8,18,31,41],"reservoir":[9],"computing":[10],"models":[11],"for":[12,63],"the":[13,25,42,47],"efficient":[14],"and":[15,59,65,79],"effective":[16],"processing":[17],"graphs.":[19],"They":[20],"compute":[21],"graph":[22,48],"embeddings":[23],"by":[24],"convergence":[26],"to":[27,38],"fixed":[29],"point":[30],"dynamical":[33],"system,":[34],"randomly":[35],"initialized":[36],"according":[37],"generalization":[40],"property,":[45],"called":[46],"embedding":[49],"stability":[50],"(GES)":[51],"property.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"prove":[57],"new":[58],"more":[60],"accurate":[61],"bounds":[62,73],"necessary":[64],"sufficient":[66],"GES":[67],"conditions.":[68],"Experiments":[69],"demonstrate":[70],"how":[71],"these":[72],"allow":[74],"an":[75],"easier":[76],"parameter":[77],"selection":[78],"better":[80],"quality":[81],"reservoirs.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}