{"id":"https://openalex.org/W4318187119","doi":"https://doi.org/10.1109/bigdata55660.2022.10020964","title":"IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket","display_name":"IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318187119","doi":"https://doi.org/10.1109/bigdata55660.2022.10020964"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020964","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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 IEEE International Conference on Big Data (Big Data)","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/A5056216807","display_name":"Po-Wei Harn","orcid":"https://orcid.org/0009-0004-1568-3702"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Po-Wei Harn","raw_affiliation_strings":["Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052080007","display_name":"Sai Deepthi Yeddula","orcid":"https://orcid.org/0009-0008-3625-8069"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sai Deepthi Yeddula","raw_affiliation_strings":["Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050420727","display_name":"Bo Hui","orcid":"https://orcid.org/0009-0008-9054-4437"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Hui","raw_affiliation_strings":["Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436698","display_name":"Jie Zhang","orcid":"https://orcid.org/0009-0002-1324-2116"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["National Central University,Computer Science and Informatin Engineering,Taoyuan,Taiwan","Computer Science and Informatin Engineering, National Central University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Computer Science and Informatin Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Computer Science and Informatin Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033147483","display_name":"Libo Sun","orcid":"https://orcid.org/0000-0002-7838-9410"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Libo Sun","raw_affiliation_strings":["Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060250892","display_name":"Min-Te Sun","orcid":"https://orcid.org/0000-0002-8911-3831"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Te Sun","raw_affiliation_strings":["National Central University,Computer Science and Informatin Engineering,Taoyuan,Taiwan","Computer Science and Informatin Engineering, National Central University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Computer Science and Informatin Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Computer Science and Informatin Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001457193","display_name":"Wei\u2010Shinn Ku","orcid":"https://orcid.org/0000-0001-8636-4689"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shinn Ku","raw_affiliation_strings":["Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science and Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"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":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"931","last_page":"941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048662900924683},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5650200843811035},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.49896788597106934},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4633752405643463},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.46146729588508606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38074344396591187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048662900924683},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5650200843811035},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.49896788597106934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4633752405643463},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.46146729588508606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38074344396591187},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020964","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W2074657453","https://openalex.org/W2101491865","https://openalex.org/W2116341502","https://openalex.org/W2547239171","https://openalex.org/W2606202972","https://openalex.org/W2805003733","https://openalex.org/W2894740066","https://openalex.org/W2948130861","https://openalex.org/W2948253213","https://openalex.org/W2951659295","https://openalex.org/W2962711740","https://openalex.org/W2963674932","https://openalex.org/W2963757395","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2970277060","https://openalex.org/W2976016473","https://openalex.org/W2995816250","https://openalex.org/W2997768846","https://openalex.org/W3005842225","https://openalex.org/W3021747854","https://openalex.org/W3034604293","https://openalex.org/W3092574632","https://openalex.org/W3093894742","https://openalex.org/W3095602948","https://openalex.org/W3100078588","https://openalex.org/W3104263050","https://openalex.org/W3104688113","https://openalex.org/W3109493217","https://openalex.org/W3165484655","https://openalex.org/W4238937393","https://openalex.org/W4287726895","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6637178625","https://openalex.org/W6638632666","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6748856961","https://openalex.org/W6751979845","https://openalex.org/W6753331806","https://openalex.org/W6754929296","https://openalex.org/W6755166560","https://openalex.org/W6761601108","https://openalex.org/W6763517781","https://openalex.org/W6763591946","https://openalex.org/W6768312477","https://openalex.org/W6772027524","https://openalex.org/W6772029579","https://openalex.org/W6772453130","https://openalex.org/W6776488958","https://openalex.org/W6779460946","https://openalex.org/W6780482815","https://openalex.org/W6780489652","https://openalex.org/W6784694379","https://openalex.org/W6790791390"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2373300491","https://openalex.org/W1212596013","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2353839841"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"shown":[5],"promising":[6],"performance":[7],"in":[8,144],"many":[9],"applications,":[10],"yet":[11],"remain":[12],"extremely":[13],"difficult":[14],"to":[15,64],"train":[16],"over":[17],"large-scale":[18,112],"graph":[19,46,66,116],"datasets.":[20,117],"Existing":[21],"weight":[22],"pruning":[23],"techniques":[24],"can":[25,85,141],"prune":[26],"out":[27],"the":[28,36,90,99,128],"layer":[29,87],"weights;":[30],"however,":[31],"they":[32],"cannot":[33],"fully":[34],"address":[35],"high":[37],"computation":[38],"complexity":[39],"of":[40,70,125],"GNN":[41,131],"inference,":[42],"caused":[43],"by":[44],"large":[45],"size":[47],"and":[48,80,89,105,109,111,114,123],"complicated":[49],"node":[50,136],"connections.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"an":[57],"Iterative":[58],"Gradient":[59],"Rank":[60],"Pruning":[61],"(IGRP)":[62],"algorithm":[63],"find":[65],"lottery":[67],"tickets":[68],"(GLT)":[69],"GNNs":[71],"where":[72],"each":[73],"GLT":[74],"includes":[75],"a":[76,81],"pruned":[77],"adjacency":[78],"matrix":[79],"sub-network.":[82],"Our":[83],"IGRP":[84,126],"avoid":[86],"collapse":[88],"winning":[91],"ticket":[92],"achieves":[93],"Maximal":[94],"critical":[95],"compression.":[96],"We":[97,118],"evaluate":[98],"proposed":[100],"method":[101],"on":[102,135],"small-scale":[103],"(Cora":[104],"Citeseer),":[106],"medium-scale":[107],"(PubMed":[108],"Wiki-CS),":[110],"(Ogbn-ArXiv":[113],"Ogbn-Products)":[115],"demonstrate":[119],"that":[120],"both":[121],"Single-shot":[122],"Multi-shot":[124],"outperform":[127],"state-of-the-art":[129],"unified":[130],"sparsification":[132],"(UGS)":[133],"framework":[134],"classification.":[137],"The":[138],"source":[139],"code":[140],"be":[142],"found":[143],"https://github.com/poweiharn/IGRP_GNN.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
