{"id":"https://openalex.org/W7161779466","doi":"https://doi.org/10.1109/isbi61048.2026.11515375","title":"A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification","display_name":"A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161779466","doi":"https://doi.org/10.1109/isbi61048.2026.11515375"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5128057899","display_name":"Jingqi Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingqi Lu","raw_affiliation_strings":["Emory University,Department of Computer Science,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University,Department of Computer Science,USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064804036","display_name":"Keqi Han","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keqi Han","raw_affiliation_strings":["Emory University,Department of Computer Science,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University,Department of Computer Science,USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136560821","display_name":"Yun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Wang","raw_affiliation_strings":["Emory University,Department of Biomedical Informatics,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University,Department of Biomedical Informatics,USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128079125","display_name":"Lu Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Mi","raw_affiliation_strings":["College of AI, Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of AI, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University,Department of Computer Science,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University,Department of Computer Science,USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.44859999418258667,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10676","display_name":"Genetics, Aging, and Longevity in Model Organisms","score":0.44859999418258667,"subfield":{"id":"https://openalex.org/subfields/1302","display_name":"Aging"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.1371999979019165,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.04349999874830246,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/caenorhabditis-elegans","display_name":"Caenorhabditis elegans","score":0.6534000039100647},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48570001125335693},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4772999882698059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.310699999332428},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.265500009059906}],"concepts":[{"id":"https://openalex.org/C2778944004","wikidata":"https://www.wikidata.org/wiki/Q91703","display_name":"Caenorhabditis elegans","level":3,"score":0.6534000039100647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49799999594688416},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3073999881744385},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26249998807907104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5907060503959656}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1904905451","https://openalex.org/W2160938187","https://openalex.org/W2949676527","https://openalex.org/W3101846945","https://openalex.org/W3116063736","https://openalex.org/W3180956051","https://openalex.org/W4307847583","https://openalex.org/W4361196070","https://openalex.org/W4388126567","https://openalex.org/W4401752652","https://openalex.org/W4406975167"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"establishes":[2],"a":[3],"benchmark":[4,81],"for":[5,97],"Caenorhabditis":[6,98],"elegans":[7,99],"neuron":[8,100],"classification,":[9],"comparing":[10],"four":[11,19],"graph":[12],"methods":[13,21],"(GCN,":[14],"GraphSAGE,":[15],"GAT,":[16],"GraphTransformer)":[17],"against":[18],"non-graph":[20],"(Logistic":[22],"Regression,":[23],"MLP,":[24],"LOLCAT,":[25],"NeuPRINT).":[26],"Using":[27],"the":[28,55,70,75,83],"functional":[29],"connectome,":[30],"we":[31],"classified":[32],"Sensory,":[33],"Interneuron,":[34],"and":[35,42,57,87,91],"Motor":[36],"neurons":[37],"based":[38],"on":[39,54],"Spatial,":[40],"Connection,":[41],"Neuronal":[43,61],"Activity":[44,62],"features.":[45,59],"Results":[46],"show":[47],"that":[48,89],"attention-based":[49],"GNNs":[50,86],"significantly":[51],"outperform":[52],"baselines":[53],"Spatial":[56,90],"Connection":[58,92],"The":[60],"features":[63,93],"yielded":[64],"poor":[65],"performance,":[66],"likely":[67],"due":[68],"to":[69],"low":[71],"temporal":[72],"resolution":[73],"of":[74,85],"underlying":[76],"neuronal":[77],"activity":[78],"data.":[79],"Our":[80],"validates":[82],"use":[84],"highlights":[88],"are":[94],"key":[95],"predictors":[96],"classes.":[101],"Code":[102],"is":[103],"available":[104],"at:":[105],"https://github.com/JingqiLuu/neuronclf-gnn-benchmark.":[106]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}
