{"id":"https://openalex.org/W3205532394","doi":"https://doi.org/10.1109/tnnls.2023.3285874","title":"Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks","display_name":"Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W3205532394","doi":"https://doi.org/10.1109/tnnls.2023.3285874","mag":"3205532394","pmid":"https://pubmed.ncbi.nlm.nih.gov/37379189"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3285874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3285874","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5064732307","display_name":"Moshe Eliasof","orcid":"https://orcid.org/0000-0002-1780-2312"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moshe Eliasof","raw_affiliation_strings":["Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078098546","display_name":"Benjamin J. Bodner","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Benjamin J. Bodner","raw_affiliation_strings":["Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel"],"raw_orcid":"https://orcid.org/0000-0001-8742-4081","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042450080","display_name":"Eran Treister","orcid":"https://orcid.org/0000-0002-5351-0966"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eran Treister","raw_affiliation_strings":["Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel"],"raw_orcid":"https://orcid.org/0000-0002-5351-0966","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ben-Gurion University of the Negev, Be&#x2019;er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6842,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86005029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"4","first_page":"4542","last_page":"4553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/quantization","display_name":"Quantization (signal processing)","score":0.7223189473152161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915478110313416},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6367337107658386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5489462614059448},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.5458441972732544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49884939193725586},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46376726031303406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4437369704246521},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4254201352596283},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.41774067282676697},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.39190492033958435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3007546365261078},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29422706365585327},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.15653201937675476}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7223189473152161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915478110313416},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6367337107658386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5489462614059448},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.5458441972732544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49884939193725586},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46376726031303406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4437369704246521},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4254201352596283},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.41774067282676697},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.39190492033958435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3007546365261078},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29422706365585327},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.15653201937675476},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3285874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3285874","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37379189","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37379189","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1920022804","https://openalex.org/W2051398769","https://openalex.org/W2062024414","https://openalex.org/W2118217749","https://openalex.org/W2135957668","https://openalex.org/W2148593155","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2158787690","https://openalex.org/W2190691619","https://openalex.org/W2242818861","https://openalex.org/W2460657278","https://openalex.org/W2524428287","https://openalex.org/W2554820184","https://openalex.org/W2558460151","https://openalex.org/W2560609797","https://openalex.org/W2606780347","https://openalex.org/W2612218357","https://openalex.org/W2776107444","https://openalex.org/W2783538964","https://openalex.org/W2788284887","https://openalex.org/W2807021761","https://openalex.org/W2809583854","https://openalex.org/W2884150179","https://openalex.org/W2907101105","https://openalex.org/W2907492528","https://openalex.org/W2907620438","https://openalex.org/W2924023169","https://openalex.org/W2949911880","https://openalex.org/W2952832237","https://openalex.org/W2963000224","https://openalex.org/W2963111219","https://openalex.org/W2963312446","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964114465","https://openalex.org/W2964233199","https://openalex.org/W2964321699","https://openalex.org/W2966445777","https://openalex.org/W2979750740","https://openalex.org/W2994840239","https://openalex.org/W2995509042","https://openalex.org/W2996268457","https://openalex.org/W3003870614","https://openalex.org/W3021853564","https://openalex.org/W3034492151","https://openalex.org/W3035175601","https://openalex.org/W3045020488","https://openalex.org/W3087314042","https://openalex.org/W3093617229","https://openalex.org/W3100848837","https://openalex.org/W3103352262","https://openalex.org/W3104097132","https://openalex.org/W3117528324","https://openalex.org/W3123559604","https://openalex.org/W3127067080","https://openalex.org/W3127618774","https://openalex.org/W3127829048","https://openalex.org/W3132658933","https://openalex.org/W3154000858","https://openalex.org/W3179709349","https://openalex.org/W3199485401","https://openalex.org/W4210257598","https://openalex.org/W4312263904","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6687484953","https://openalex.org/W6690026940","https://openalex.org/W6699364125","https://openalex.org/W6725543821","https://openalex.org/W6726873649","https://openalex.org/W6727208969","https://openalex.org/W6736685754","https://openalex.org/W6748529151","https://openalex.org/W6752110883","https://openalex.org/W6755863455","https://openalex.org/W6756040250","https://openalex.org/W6757713970","https://openalex.org/W6760069825","https://openalex.org/W6771621015","https://openalex.org/W6771932116","https://openalex.org/W6773270737","https://openalex.org/W6773666150","https://openalex.org/W6776488958","https://openalex.org/W6779140768","https://openalex.org/W6779961489","https://openalex.org/W6781376665","https://openalex.org/W6783240540","https://openalex.org/W6784977419","https://openalex.org/W6788707144","https://openalex.org/W6789946416","https://openalex.org/W6791371489","https://openalex.org/W6809410891"],"related_works":["https://openalex.org/W2175493893","https://openalex.org/W2922522935","https://openalex.org/W1563568571","https://openalex.org/W4311622255","https://openalex.org/W4311622254","https://openalex.org/W2138087993","https://openalex.org/W2077021924","https://openalex.org/W2366623948","https://openalex.org/W2377605153","https://openalex.org/W2545237249"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1,22],"networks":[2,24],"(GCNs)":[3],"are":[4,95],"widely":[5],"used":[6],"in":[7,27,56,85],"a":[8,82,88,147,151],"variety":[9,152],"of":[10,20,32,52,75,100,112,153],"applications":[11],"and":[12,48,104,126,163,166],"can":[13,45,67,79],"be":[14,46,68,98],"seen":[15],"as":[16,39],"an":[17],"unstructured":[18],"version":[19],"standard":[21],"neural":[23],"(CNNs).":[25],"As":[26],"CNNs,":[28],"the":[29,50,76,91,101,131,135],"computational":[30,60],"cost":[31],"GCNs":[33],"for":[34,150],"large":[35,40],"input":[36],"graphs":[37],"(such":[38],"point":[41,160],"clouds":[42],"or":[43],"meshes)":[44],"high":[47],"inhibit":[49],"use":[51,122],"these":[53,64],"networks,":[54],"especially":[55],"environments":[57],"with":[58,134],"low":[59],"resources.":[61],"To":[62],"ease":[63],"costs,":[65],"quantization":[66,74,115,128,145],"applied":[69],"to":[70,81,97,107,116,121,129,159],"GCNs.":[71],"However,":[72],"aggressive":[73,114,143],"feature":[77,117,144],"maps":[78],"lead":[80],"significant":[83,148],"degradation":[84],"performance.":[86],"On":[87],"different":[89],"note,":[90],"Haar":[92,123],"wavelet":[93,124],"transforms":[94],"known":[96],"one":[99],"most":[102],"effective":[103],"efficient":[105],"approaches":[106],"compress":[108],"signals.":[109],"Therefore,":[110],"instead":[111],"applying":[113],"maps,":[118],"we":[119],"propose":[120],"compression":[125],"light":[127],"reduce":[130],"computations":[132],"involved":[133],"network.":[136],"We":[137],"demonstrate":[138],"that":[139],"this":[140],"approach":[141],"surpasses":[142],"by":[146],"margin,":[149],"problems":[154],"ranging":[155],"from":[156],"node":[157],"classification":[158,162],"cloud":[161],"both":[164],"part":[165],"semantic":[167],"segmentation.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
