{"id":"https://openalex.org/W4402954411","doi":"https://doi.org/10.48550/arxiv.2409.01145","title":"LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning","display_name":"LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4402954411","doi":"https://doi.org/10.48550/arxiv.2409.01145"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.01145","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.01145","pdf_url":"https://arxiv.org/pdf/2409.01145","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":null,"license_id":null,"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/2409.01145","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027145178","display_name":"Haoran Yang","orcid":"https://orcid.org/0000-0002-1183-767X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Haoran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xiangyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003783385","display_name":"Sirui Huang","orcid":"https://orcid.org/0009-0007-7192-973X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Sirui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Guandong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027145178"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"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":0.974399983882904,"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":0.974399983882904,"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":0.9657999873161316,"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":0.9003000259399414,"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/graph","display_name":"Graph","score":0.5476639270782471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4859417676925659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48335927724838257},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4552707374095917},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.42494651675224304},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3721753656864166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08244907855987549},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06797870993614197}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5476639270782471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4859417676925659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48335927724838257},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4552707374095917},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.42494651675224304},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3721753656864166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08244907855987549},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06797870993614197}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.01145","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.01145","pdf_url":"https://arxiv.org/pdf/2409.01145","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.01145","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.01145","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.01145","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.01145","pdf_url":"https://arxiv.org/pdf/2409.01145","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402954411.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2931662336","https://openalex.org/W2077865380","https://openalex.org/W4401768695","https://openalex.org/W2765597752","https://openalex.org/W2134894512","https://openalex.org/W2083375246","https://openalex.org/W2067108088","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Graph":[0],"Contrastive":[1],"Learning":[2],"(GCL)":[3],"is":[4,56],"a":[5,66,82,119],"potent":[6],"paradigm":[7],"for":[8,22,51,79,153],"self-supervised":[9],"graph":[10],"learning":[11,23],"that":[12,107],"has":[13,28],"attracted":[14],"attention":[15],"across":[16],"various":[17],"application":[18],"scenarios.":[19],"However,":[20],"GCL":[21,53,77,121,155],"on":[24,46,161],"Text-Attributed":[25],"Graphs":[26],"(TAGs)":[27],"yet":[29],"to":[30,54,57,90,109,125,131,143,149,156,181],"be":[31,187],"explored.":[32],"Because":[33],"conventional":[34],"augmentation":[35,105],"techniques":[36],"like":[37],"feature":[38,63],"embedding":[39],"masking":[40],"cannot":[41],"directly":[42],"process":[43],"textual":[44,60,133],"attributes":[45,61],"TAGs.":[47],"A":[48],"naive":[49],"strategy":[50,83],"applying":[52,154],"TAGs":[55],"encode":[58],"the":[59,72,75,98,145,151,167,170,183],"into":[62,74],"embeddings":[64,73],"via":[65,189],"language":[67,139],"model":[68],"and":[69,102,111,135,177],"then":[70],"feed":[71],"following":[76],"module":[78],"processing.":[80],"Such":[81],"faces":[84],"three":[85,146],"key":[86],"challenges:":[87],"I)":[88],"failure":[89],"avoid":[91],"information":[92],"loss,":[93],"II)":[94],"semantic":[95],"loss":[96],"during":[97],"text":[99],"encoding":[100],"phase,":[101],"III)":[103],"implicit":[104],"constraints":[106],"lead":[108],"uncontrollable":[110],"incomprehensible":[112],"results.":[113],"In":[114],"this":[115,190],"paper,":[116],"we":[117],"propose":[118],"novel":[120],"framework":[122],"named":[123],"LATEX-GCL":[124,172],"utilize":[126],"Large":[127],"Language":[128],"Models":[129],"(LLMs)":[130],"produce":[132],"augmentations":[134],"LLMs'":[136],"powerful":[137],"natural":[138],"processing":[140],"(NLP)":[141],"abilities":[142],"address":[144],"limitations":[147],"aforementioned":[148],"pave":[150],"way":[152],"TAG":[157,164],"tasks.":[158],"Extensive":[159],"experiments":[160],"four":[162],"high-quality":[163],"datasets":[165,178],"illustrate":[166],"superiority":[168],"of":[169],"proposed":[171],"method.":[173],"The":[174],"source":[175],"codes":[176],"are":[179],"released":[180],"ease":[182],"reproducibility,":[184],"which":[185],"can":[186],"accessed":[188],"link:":[191],"https://anonymous.4open.science/r/LATEX-GCL-0712.":[192]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2024-09-29T00:00:00"}
