{"id":"https://openalex.org/W7204905136","doi":"https://doi.org/10.1145/3770743.3804433","title":"TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information","display_name":"TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information","publication_year":2026,"publication_date":"2026-07-26","ids":{"openalex":"https://openalex.org/W7204905136","doi":"https://doi.org/10.1145/3770743.3804433"},"language":"en","primary_location":{"id":"doi:10.1145/3770743.3804433","doi":"https://doi.org/10.1145/3770743.3804433","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770743.3804433","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770743.3804433?download=true","source":{"id":"https://openalex.org/S4210231368","display_name":"ACM/IEEE Design Automation Conference (DAC)","issn_l":"0738-100X","issn":["0738-100X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3770743.3804433?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113315353","display_name":"Dain Kwon","orcid":"https://orcid.org/0009-0003-4822-5823","observed_orcids":["https://orcid.org/0009-0003-4822-5823"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dain Kwon","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0003-4822-5823","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043170949","display_name":"Kanghyun Choi","orcid":"https://orcid.org/0009-0005-1056-1316","observed_orcids":["https://orcid.org/0009-0005-1056-1316"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kanghyun Choi","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-1056-1316","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019229917","display_name":"Hyeyoon Lee","orcid":"https://orcid.org/0000-0003-3130-7921","observed_orcids":["https://orcid.org/0000-0003-3130-7921"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeyoon Lee","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-3130-7921","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148835316","display_name":"Sunjong Park","orcid":"https://orcid.org/0009-0004-4357-3316","observed_orcids":["https://orcid.org/0009-0004-4357-3316"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunjong Park","raw_affiliation_strings":["Seoul National University, seoul, seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-4357-3316","affiliations":[{"raw_affiliation_string":"Seoul National University, seoul, seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121998609","display_name":"Seoyong Lee","orcid":"https://orcid.org/0009-0001-5112-3487","observed_orcids":["https://orcid.org/0009-0001-5112-3487"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seoyong Lee","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0001-5112-3487","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014007913","display_name":"Sukjin Kim","orcid":"https://orcid.org/0009-0003-2478-7215","observed_orcids":["https://orcid.org/0009-0003-2478-7215","https://orcid.org/0000-0003-2232-2038"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sukjin Kim","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0003-2478-7215","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148870775","display_name":"Jinho Lee","orcid":"https://orcid.org/0000-0003-4010-6611","observed_orcids":["https://orcid.org/0000-0003-4010-6611"]},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinho Lee","raw_affiliation_strings":["Seoul National University, Seoul, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4010-6611","affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71616197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9106000065803528,"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":0.9106000065803528,"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":0.019700000062584877,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.006599999964237213,"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-neural-networks","display_name":"graph neural networks","score":0.921999990940094},{"id":"https://openalex.org/keywords/post-training-quantization","display_name":"post-training quantization","score":0.9860000014305115},{"id":"https://openalex.org/keywords/activation-quantization","display_name":"activation quantization","score":0.9390000104904175},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"adjacency matrix","score":0.8040000200271606},{"id":"https://openalex.org/keywords/node-grouping","display_name":"node grouping","score":0.6620000004768372}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8531000018119812},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5120999813079834},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42559999227523804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3862000107765198},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.3723999857902527},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.2948000133037567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.275299996137619},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3770743.3804433","doi":"https://doi.org/10.1145/3770743.3804433","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770743.3804433","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770743.3804433?download=true","source":{"id":"https://openalex.org/S4210231368","display_name":"ACM/IEEE Design Automation Conference (DAC)","issn_l":"0738-100X","issn":["0738-100X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2608.30394","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.30394","pdf_url":"https://arxiv.org/pdf/2608.30394","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.30394","doi":"https://doi.org/10.48550/arxiv.2608.30394","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.30394","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3770743.3804433","doi":"https://doi.org/10.1145/3770743.3804433","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770743.3804433","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3770743.3804433?download=true","source":{"id":"https://openalex.org/S4210231368","display_name":"ACM/IEEE Design Automation Conference (DAC)","issn_l":"0738-100X","issn":["0738-100X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3047552201","display_name":null,"funder_award_id":"IITP-2025-RS-2023-00256081","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3812690899","display_name":null,"funder_award_id":"RS-2023","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4294718623","display_name":null,"funder_award_id":"RS-2024-00347394","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6281998519","display_name":null,"funder_award_id":"RS-2024-00395134","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7822388480","display_name":null,"funder_award_id":"RS-2024-00395134","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8390394344","display_name":null,"funder_award_id":"RS-2024-00347394","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322111","display_name":"Korea Basic Science Institute","ror":"https://ror.org/0417sdw47"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204905136.pdf","grobid_xml":"https://content.openalex.org/works/W7204905136.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4385300643","https://openalex.org/W4320509036","https://openalex.org/W3127829048","https://openalex.org/W3117528324","https://openalex.org/W4386302229","https://openalex.org/W4281653546","https://openalex.org/W4388662070","https://openalex.org/W4283737104","https://openalex.org/W4389161127","https://openalex.org/W7135545783"],"abstract_inverted_index":{"Existing":[0],"GNN":[1,27],"quantization":[2,7,28,32,42,87],"methods":[3],"suffer":[4],"from":[5],"considerable":[6],"overhead,":[8],"which":[9,39],"severely":[10],"limits":[11],"their":[12],"practical":[13],"usage":[14],"in":[15],"real-world":[16],"scenarios.":[17],"To":[18],"this":[19],"end,":[20],"we":[21,61],"present":[22],"TopGQ,":[23],"an":[24,90],"accurate":[25],"post-training":[26],"framework,":[29],"alleviating":[30],"redundant":[31],"overhead.":[33],"We":[34],"propose":[35],"dual-axis":[36],"scale":[37],"absorption,":[38],"enables":[40],"activation":[41],"along":[43],"both":[44],"the":[45,54],"outer":[46],"and":[47,70],"inner":[48],"dimensions":[49],"by":[50,89],"merging":[51],"one":[52],"into":[53],"adjacency":[55],"matrix.":[56],"On":[57],"top":[58],"of":[59,92],"that,":[60],"introduce":[62],"TopPIN,":[63],"a":[64],"proxy":[65],"for":[66],"nodes'":[67],"local":[68],"structure,":[69],"use":[71],"it":[72],"to":[73],"group":[74],"nodes":[75],"with":[76],"similar":[77],"topology":[78],"during":[79],"quantization.":[80],"Experimental":[81],"results":[82],"show":[83],"that":[84],"TopGQ":[85],"reduces":[86],"time":[88],"order":[91],"magnitude":[93],"while":[94],"preserving":[95],"accuracy.":[96],"The":[97],"code":[98],"is":[99],"available":[100],"at":[101],"https://github.com/meowrowan/TopGQ.":[102]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-02T00:00:00"}