{"id":"https://openalex.org/W7143535721","doi":"https://doi.org/10.48550/arxiv.2603.26496","title":"Innovation Discovery System for Networking Research","display_name":"Innovation Discovery System for Networking Research","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7143535721","doi":"https://doi.org/10.48550/arxiv.2603.26496"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.26496","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26496","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.26496","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5131000909","display_name":"Mengrui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mengrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130949422","display_name":"Bang Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Bang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130938018","display_name":"Yunxin Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yunxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126120683","display_name":"Haiying Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Haiying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130990831","display_name":"Luxi Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Luxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130954823","display_name":"Mochun Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long, Mochun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028726724","display_name":"Qingyu Song","orcid":"https://orcid.org/0000-0003-0530-3134"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Qingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130955801","display_name":"Qiao Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Qiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5131000191","display_name":"Xue Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130996212","display_name":"Jiwu Shu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu, Jiwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.4959999918937683,"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":0.4959999918937683,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.054499998688697815,"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":0.04670000076293945,"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/novelty","display_name":"Novelty","score":0.7581999897956848},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7452999949455261},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6122000217437744},{"id":"https://openalex.org/keywords/scientific-discovery","display_name":"Scientific discovery","score":0.579800009727478},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5188999772071838}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7581999897956848},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7452999949455261},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6126999855041504},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5990999937057495},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.38499999046325684},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C2777516300","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data discovery","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.26496","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26496","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.26496","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26496","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6805146336555481}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"networking":[1,39,60,106,146],"systems":[2],"become":[3],"increasingly":[4],"complex,":[5],"achieving":[6],"disruptive":[7],"innovation":[8],"grows":[9],"more":[10],"challenging.":[11],"At":[12],"the":[13,65,110],"same":[14],"time,":[15],"recent":[16],"progress":[17],"in":[18,158],"Large":[19],"Language":[20],"Models":[21],"(LLMs)":[22],"has":[23],"shown":[24],"strong":[25],"potential":[26],"for":[27,43,70,88],"scientific":[28,72,101],"hypothesis":[29],"formation":[30],"and":[31,57,120,123,134,144,153],"idea":[32,83,112,121,127,160],"generation.":[33],"Nevertheless,":[34],"applying":[35],"LLMs":[36,48],"effectively":[37],"to":[38,50],"research":[40,82,147],"remains":[41],"difficult":[42],"two":[44],"main":[45],"reasons:":[46],"standalone":[47,155],"tend":[49],"generate":[51],"ideas":[52,148],"by":[53],"recombining":[54],"existing":[55],"solutions,":[56],"current":[58],"open-source":[59],"resources":[61],"do":[62],"not":[63],"provide":[64],"structured,":[66],"idea-level":[67],"knowledge":[68],"necessary":[69],"data-driven":[71],"discovery.":[73],"To":[74],"bridge":[75],"this":[76],"gap,":[77],"we":[78],"present":[79],"SciNet,":[80],"a":[81,99],"generation":[84,157],"system":[85],"specifically":[86],"designed":[87],"networking.":[89],"SciNet":[90],"is":[91],"built":[92],"upon":[93],"three":[94],"key":[95],"components:":[96],"(1)":[97],"constructing":[98],"networking-oriented":[100],"discovery":[102,113],"dataset":[103],"from":[104],"top-tier":[105],"conferences,":[107],"(2)":[108],"simulating":[109],"human":[111],"workflow":[114],"through":[115],"problem":[116],"setting,":[117],"inspiration":[118],"retrieval,":[119],"generation,":[122],"(3)":[124],"developing":[125],"an":[126],"evaluation":[128],"method":[129],"that":[130,139],"jointly":[131],"measures":[132],"novelty":[133],"practicality.":[135],"Experimental":[136],"results":[137],"show":[138],"\\system":[140],"consistently":[141],"produces":[142],"practical":[143],"novel":[145],"across":[149],"multiple":[150],"LLM":[151],"backbones,":[152],"outperforms":[154],"LLM-based":[156],"overall":[159],"quality.":[161]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-31T00:00:00"}