{"id":"https://openalex.org/W4389476227","doi":"https://doi.org/10.1145/3613424.3614305","title":"TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization","display_name":"TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4389476227","doi":"https://doi.org/10.1145/3613424.3614305"},"language":"en","primary_location":{"id":"doi:10.1145/3613424.3614305","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3614305","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3614305","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3614305","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003935082","display_name":"Zheng Qu","orcid":"https://orcid.org/0000-0001-6574-0649"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Qu","raw_affiliation_strings":["Unversity of California, Santa Barbara, United States"],"raw_orcid":"https://orcid.org/0000-0001-6574-0649","affiliations":[{"raw_affiliation_string":"Unversity of California, Santa Barbara, United States","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068606980","display_name":"Dimin Niu","orcid":"https://orcid.org/0000-0001-8440-3875"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimin Niu","raw_affiliation_strings":["Alibaba Group Inc., USA"],"raw_orcid":"https://orcid.org/0000-0001-8440-3875","affiliations":[{"raw_affiliation_string":"Alibaba Group Inc., USA","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837743","display_name":"Shuangchen Li","orcid":"https://orcid.org/0009-0003-6986-0463"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuangchen Li","raw_affiliation_strings":["Alibaba Group Inc., United States"],"raw_orcid":"https://orcid.org/0009-0003-6986-0463","affiliations":[{"raw_affiliation_string":"Alibaba Group Inc., United States","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046896624","display_name":"Hongzhong Zheng","orcid":"https://orcid.org/0000-0001-7696-9799"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhong Zheng","raw_affiliation_strings":["Alibaba Group Inc., USA"],"raw_orcid":"https://orcid.org/0000-0001-7696-9799","affiliations":[{"raw_affiliation_string":"Alibaba Group Inc., USA","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385336","display_name":"Yuan Xie","orcid":"https://orcid.org/0000-0003-2093-1788"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Xie","raw_affiliation_strings":["Alibaba Group Inc., USA"],"raw_orcid":"https://orcid.org/0000-0003-2093-1788","affiliations":[{"raw_affiliation_string":"Alibaba Group Inc., USA","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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":0.9988999962806702,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9821000099182129,"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":0.7494620084762573},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7250931262969971},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5726940631866455},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5703824758529663},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4751332104206085},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45849740505218506},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44949859380722046},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.4301641881465912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.291374146938324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494620084762573},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7250931262969971},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5726940631866455},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5703824758529663},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4751332104206085},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45849740505218506},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44949859380722046},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.4301641881465912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.291374146938324},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3613424.3614305","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3614305","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3614305","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-152823","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-152823","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3613424.3614305","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3614305","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613424.3614305","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389476227.pdf","grobid_xml":"https://content.openalex.org/works/W4389476227.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1993482030","https://openalex.org/W2070232376","https://openalex.org/W2761132374","https://openalex.org/W2945827377","https://openalex.org/W2950025781","https://openalex.org/W3012450843","https://openalex.org/W3081416984","https://openalex.org/W3088618441","https://openalex.org/W3096566397","https://openalex.org/W3101553402","https://openalex.org/W3128634608","https://openalex.org/W3136941290","https://openalex.org/W3200354549","https://openalex.org/W3207203625","https://openalex.org/W4220807331","https://openalex.org/W4226119281","https://openalex.org/W4280641199","https://openalex.org/W4281725510","https://openalex.org/W4281850905","https://openalex.org/W4282963011","https://openalex.org/W4292718518","https://openalex.org/W4318328413","https://openalex.org/W4318541522","https://openalex.org/W4379462284","https://openalex.org/W6959643953"],"related_works":["https://openalex.org/W2489934651","https://openalex.org/W108401543","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W2279642117","https://openalex.org/W3038102983","https://openalex.org/W2950907416"],"abstract_inverted_index":{"Training":[0],"Graph":[1],"Neural":[2],"Networks":[3],"on":[4],"large":[5],"graphs":[6],"is":[7],"challenging":[8],"due":[9],"to":[10,13,62,73],"the":[11,21,38,54,64,76],"need":[12],"store":[14],"graph":[15,33,55,65],"data":[16],"and":[17,48,58],"move":[18],"them":[19],"along":[20],"memory":[22,49],"hierarchy.":[23],"In":[24],"this":[25,29],"work,":[26],"we":[27,52],"tackle":[28],"by":[30],"effectively":[31],"compressing":[32],"embedding":[34],"matrix":[35],"such":[36],"that":[37],"model":[39],"training":[40],"can":[41],"be":[42],"fully":[43],"enabled":[44],"with":[45,70],"on-chip":[46],"compute":[47],"resources.":[50],"Specifically,":[51],"leverage":[53],"homophily":[56],"property":[57],"consider":[59],"using":[60],"Tensor-train":[61],"represent":[63],"embedding.":[66],"This":[67],"allows":[68],"nodes":[69],"similar":[71],"neighborhoods":[72],"partially":[74],"share":[75],"feature":[77],"representation.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}