乐胖代购免代理版

{"id":"https://openalex.org/W3106125969","doi":"https://doi.org/10.1145/3373087.3375312","title":"GraphACT","display_name":"GraphACT","publication_year":2020,"publication_date":"2020-02-23","ids":{"openalex":"https://openalex.org/W3106125969","doi":"https://doi.org/10.1145/3373087.3375312","mag":"3106125969"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3373087.3375312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1145/3373087.3375312","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014103790","display_name":"Hanqing Zeng","orcid":"https://orcid.org/0000-0002-2578-2147"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"funder","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanqing Zeng","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033166029","display_name":"Viktor K. Prasanna","orcid":"https://orcid.org/0000-0002-1609-8589"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"funder","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viktor Prasanna","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":115,"citation_normalized_percentile":{"value":0.999944,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"265"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9999,"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":0.9999,"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":0.9881,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9661,"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/speedup","display_name":"Speedup","score":0.6249976},{"id":"https://openalex.org/keywords/xeon","display_name":"Xeon","score":0.57304806},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4218158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427588},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6609924},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6249976},{"id":"https://openalex.org/C145108525","wikidata":"https://www.wikidata.org/wiki/Q656154","display_name":"Xeon","level":2,"score":0.57304806},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.55834085},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.51658714},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5063082},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44963264},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4218158},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.40726826},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.39841217},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.27865404},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24225518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21180743},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3373087.3375312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.02498","pdf_url":"http://arxiv.org/pdf/2001.02498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2001.02498","pdf_url":"https://arxiv.org/pdf/2001.02498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2001.02498","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3373087.3375312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"CNS-1643351"},{"funder":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency","award_id":"FA8750-17-C-0086"}],"datasets":[],"versions":["https://openalex.org/W3000310304","https://openalex.org/W3106125969"],"referenced_works_count":53,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W2003813631","https://openalex.org/W2013659828","https://openalex.org/W2103799649","https://openalex.org/W2154851992","https://openalex.org/W2282294254","https://openalex.org/W2508029414","https://openalex.org/W2519887557","https://openalex.org/W2557283755","https://openalex.org/W2557355796","https://openalex.org/W2583135230","https://openalex.org/W2584311934","https://openalex.org/W2584785188","https://openalex.org/W2624431344","https://openalex.org/W2625954420","https://openalex.org/W2767404761","https://openalex.org/W2786915849","https://openalex.org/W2788512147","https://openalex.org/W2789007918","https://openalex.org/W2790814121","https://openalex.org/W2792503273","https://openalex.org/W2811124557","https://openalex.org/W2890068895","https://openalex.org/W2890703109","https://openalex.org/W2896983500","https://openalex.org/W2898565872","https://openalex.org/W2899915146","https://openalex.org/W2916143956","https://openalex.org/W2917518248","https://openalex.org/W2942756726","https://openalex.org/W2945759188","https://openalex.org/W2951659295","https://openalex.org/W2952029609","https://openalex.org/W2961295589","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963581908","https://openalex.org/W2963695795","https://openalex.org/W2963757395","https://openalex.org/W2964015378","https://openalex.org/W2988559961","https://openalex.org/W2989427215","https://openalex.org/W2994968268","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W4235765578","https://openalex.org/W4241352463","https://openalex.org/W4254308002","https://openalex.org/W4294558607","https://openalex.org/W4297571622","https://openalex.org/W4387007199","https://openalex.org/W569478347"],"related_works":["https://openalex.org/W4297942731","https://openalex.org/W3205838256","https://openalex.org/W3193144889","https://openalex.org/W3159273459","https://openalex.org/W3080250604","https://openalex.org/W2943610686","https://openalex.org/W2607998022","https://openalex.org/W2532502681","https://openalex.org/W2518118925","https://openalex.org/W229781084"],"abstract_inverted_index":{"Graph":[0],"Convolutional":[1],"Networks":[2],"(GCNs)":[3],"have":[4],"emerged":[5],"as":[6],"the":[7,37,47,75,99,120,124,129,135,139,157],"state-of-the-art":[8,210],"deep":[9],"learning":[10,14],"model":[11],"for":[12,60,94,152],"representation":[13],"on":[15,63,111,119,134,180,212],"graphs.":[16],"It":[17],"is":[18,91],"challenging":[19],"to":[20,26,33,43,131],"accelerate":[21,138],"training":[22,61,83,202],"of":[23,80,200],"GCNs,":[24],"due":[25],"(1)":[27],"substantial":[28],"and":[29,39,77,85,128,165,169],"irregular":[30],"data":[31],"communication":[32,78],"propagate":[34,44],"information":[35,45],"within":[36,102],"graph,":[38],"(2)":[40],"intensive":[41],"computation":[42,76,130],"along":[46],"neural":[48],"network":[49],"layers.":[50],"To":[51,97,137],"address":[52],"these":[53],"challenges,":[54],"we":[55,104,145,196],"design":[56,151,179],"a":[57,87,106,112,147,161,181,188,213],"novel":[58],"accelerator":[59],"GCNs":[62],"CPU-FPGA":[64],"heterogeneous":[65],"systems,":[66],"by":[67,172,187],"incorporating":[68],"multiple":[69],"algorithm-architecture":[70],"co-optimizations.":[71],"We":[72,155,176],"first":[73],"analyze":[74,166],"characteristics":[79],"various":[81],"GCN":[82,143],"algorithms,":[84],"select":[86],"subgraph-based":[88],"algorithm":[89],"that":[90],"well":[92],"suited":[93],"hardware":[95,163],"execution.":[96],"optimize":[98],"feature":[100],"propagation":[101],"subgraphs,":[103],"propose":[105,146],"lightweight":[107],"pre-processing":[108,117],"step":[109],"based":[110,150],"graph":[113],"theoretic":[114],"approach.":[115],"Such":[116],"performed":[118,133],"CPU":[121],"significantly":[122],"reduces":[123],"memory":[125],"access":[126],"requirements":[127],"be":[132],"FPGA.":[136],"weight":[140],"update":[141],"in":[142],"layers,":[144],"systolic":[148],"array":[149],"efficient":[153],"parallelization.":[154],"integrate":[156],"above":[158],"optimizations":[159],"into":[160],"complete":[162],"pipeline,":[164],"its":[167],"load-balance":[168],"resource":[170],"utilization":[171],"accurate":[173],"performance":[174],"modeling.":[175],"evaluate":[177],"our":[178],"Xilinx":[182],"Alveo":[183],"U200":[184],"board":[185],"hosted":[186],"40-core":[189],"Xeon":[190],"server.":[191],"On":[192],"three":[193],"large":[194],"graphs,":[195],"achieve":[197],"an":[198],"order":[199],"magnitude":[201],"speedup":[203],"with":[204,209],"negligible":[205],"accuracy":[206],"loss,":[207],"compared":[208],"implementation":[211],"multi-core":[214],"platform.":[215]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3106125969","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1}],"updated_date":"2025-03-19T20:31:32.445900","created_date":"2020-11-23"}