{"id":"https://openalex.org/W4391832879","doi":"https://doi.org/10.48550/arxiv.2402.07197","title":"GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks","display_name":"GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks","publication_year":2024,"publication_date":"2024-02-11","ids":{"openalex":"https://openalex.org/W4391832879","doi":"https://doi.org/10.48550/arxiv.2402.07197"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.07197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.07197","pdf_url":"https://arxiv.org/pdf/2402.07197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.07197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048568309","display_name":"Mengmei Zhang","orcid":"https://orcid.org/0000-0002-4581-0977"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Mengmei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109378916","display_name":"Mingwei Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Mingwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011130586","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8265-9866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521937","display_name":"Shen Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Shen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087878498","display_name":"Yanhu Mo","orcid":"https://orcid.org/0000-0001-6576-6005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo, Yanhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102820214","display_name":"Xiaoxiao Xu","orcid":"https://orcid.org/0009-0007-5493-5628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xiaoxiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644118","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0001-9011-8309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060417049","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-7821-0030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Cheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Chuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5048568309"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9921000003814697,"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/T10028","display_name":"Topic Modeling","score":0.9921000003814697,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9786999821662903,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9243000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667476236820221},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4881756901741028},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4835331439971924},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37185007333755493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33096832036972046},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26855871081352234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667476236820221},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4881756901741028},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4835331439971924},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37185007333755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33096832036972046},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26855871081352234}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2402.07197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.07197","pdf_url":"https://arxiv.org/pdf/2402.07197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2402.07197","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.07197","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.07197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.07197","pdf_url":"https://arxiv.org/pdf/2402.07197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391832879.pdf","grobid_xml":"https://content.openalex.org/works/W4391832879.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Large":[0],"language":[1,164,206],"models":[2,41],"(LLMs)":[3],"like":[4],"ChatGPT,":[5],"exhibit":[6],"powerful":[7,39],"zero-shot":[8,186],"and":[9,69,95,112,146,173],"instruction-following":[10],"capabilities,":[11],"have":[12,59],"catalyzed":[13],"a":[14,49,75,81,98,132,167,199],"revolutionary":[15],"transformation":[16],"across":[17,198],"diverse":[18],"fields,":[19],"especially":[20],"for":[21,124,170],"open-ended":[22,70,122,174,203],"tasks.":[23,175],"While":[24],"the":[25,31,35,67,92,108,114,137,179],"idea":[26],"is":[27,210],"less":[28],"explored":[29],"in":[30,48],"graph":[32,40,190],"domain,":[33],"despite":[34],"availability":[36],"of":[37,117,135,181,202],"numerous":[38],"(GMs),":[42],"they":[43,62],"are":[44],"restricted":[45],"to":[46,57,64,90,103,106,119,159],"tasks":[47,110,123,204],"pre-defined":[50,68,109,172],"form.":[51],"Although":[52],"several":[53],"methods":[54],"applying":[55],"LLMs":[56,118],"graphs":[58],"been":[60],"proposed,":[61],"fail":[63],"simultaneously":[65],"handle":[66,107],"tasks,":[71],"with":[72],"LLM":[73,96,158],"as":[74,80],"node":[76,142,151,187],"feature":[77],"enhancer":[78],"or":[79],"standalone":[82],"predictor.":[83],"To":[84,126],"break":[85],"this":[86],"dilemma,":[87],"we":[88,130],"propose":[89,131],"bridge":[91],"pretrained":[93],"GM":[94,105],"by":[97],"Translator,":[99,129],"named":[100],"GraphTranslator,":[101],"aiming":[102],"leverage":[104],"effectively":[111],"utilize":[113],"extended":[115],"interface":[116],"offer":[120],"various":[121],"GM.":[125],"train":[127],"such":[128],"Producer":[133],"capable":[134],"constructing":[136],"graph-text":[138],"alignment":[139],"data":[140],"along":[141],"information,":[143],"neighbor":[144],"information":[145],"model":[147],"information.":[148],"By":[149],"translating":[150],"representation":[152],"into":[153],"tokens,":[154],"GraphTranslator":[155,184,196],"empowers":[156],"an":[157],"make":[160],"predictions":[161],"based":[162],"on":[163,185],"instructions,":[165],"providing":[166],"unified":[168],"perspective":[169],"both":[171],"Extensive":[176],"results":[177],"demonstrate":[178],"effectiveness":[180],"our":[182,195],"proposed":[183],"classification.":[188],"The":[189],"question":[191],"answering":[192],"experiments":[193],"reveal":[194],"potential":[197],"broad":[200],"spectrum":[201],"through":[205],"instructions.":[207],"Our":[208],"code":[209],"available":[211],"at:":[212],"https://github.com/alibaba/GraphTranslator.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2024-02-15T00:00:00"}