{"id":"https://openalex.org/W4396758690","doi":"https://doi.org/10.1145/3589334.3645574","title":"Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search","display_name":"Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396758690","doi":"https://doi.org/10.1145/3589334.3645574"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.14156","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091734285","display_name":"Songhao Wu","orcid":"https://orcid.org/0009-0007-3697-7082"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhao Wu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-3697-7082","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066859683","display_name":"Quan Tu","orcid":"https://orcid.org/0009-0005-8806-247X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Tu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-8806-247X","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423423","display_name":"Hong Liu","orcid":"https://orcid.org/0009-0002-2361-5721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2361-5721","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472360","display_name":"Jia Xu","orcid":"https://orcid.org/0009-0004-1163-513X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-1163-513X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023862460","display_name":"Zhongyi Liu","orcid":"https://orcid.org/0000-0001-9478-8107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongyi Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9478-8107","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031338085","display_name":"Guannan Zhang","orcid":"https://orcid.org/0000-0002-7091-2318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guannan Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7091-2318","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092473105","display_name":"Ran Wang","orcid":"https://orcid.org/0009-0008-1274-5313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["WeCredo Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-1274-5313","affiliations":[{"raw_affiliation_string":"WeCredo Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042441263","display_name":"Xiuying Chen","orcid":"https://orcid.org/0000-0002-6633-0796"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiuying Chen","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-6633-0796","affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3356-6823","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1509","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9980999827384949,"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/session","display_name":"Session (web analytics)","score":0.7395613193511963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304229736328125},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5018031597137451},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3958824872970581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.362615168094635},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33065521717071533},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2650696635246277}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7395613193511963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304229736328125},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5018031597137451},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3958824872970581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.362615168094635},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33065521717071533},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2650696635246277}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589334.3645574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.14156","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.14156","pdf_url":"https://arxiv.org/pdf/2505.14156","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.14156","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.14156","pdf_url":"https://arxiv.org/pdf/2505.14156","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G53857530","display_name":null,"funder_award_id":"62122089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396758690.pdf","grobid_xml":"https://content.openalex.org/works/W4396758690.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1982858363","https://openalex.org/W2013784666","https://openalex.org/W2105981469","https://openalex.org/W2139450192","https://openalex.org/W2962770891","https://openalex.org/W2976462669","https://openalex.org/W2986273318","https://openalex.org/W2998008360","https://openalex.org/W3004092718","https://openalex.org/W3035187263","https://openalex.org/W3035324702","https://openalex.org/W3036446966","https://openalex.org/W3080997787","https://openalex.org/W3099152386","https://openalex.org/W3100107515","https://openalex.org/W3125508839","https://openalex.org/W3155638432","https://openalex.org/W3156636935","https://openalex.org/W3163781021","https://openalex.org/W3170268576","https://openalex.org/W3174146526","https://openalex.org/W3180230246","https://openalex.org/W3196020299","https://openalex.org/W3208743992","https://openalex.org/W3208801308","https://openalex.org/W4213335484","https://openalex.org/W4221142755","https://openalex.org/W4223931259","https://openalex.org/W4252076394","https://openalex.org/W4282007696","https://openalex.org/W4293253193","https://openalex.org/W4296591867","https://openalex.org/W4321485151","https://openalex.org/W4381587418","https://openalex.org/W4382202686","https://openalex.org/W4385568277","https://openalex.org/W4385573094","https://openalex.org/W4389523765","https://openalex.org/W4393160113","https://openalex.org/W4401043313"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W1559289099","https://openalex.org/W3016450995"],"abstract_inverted_index":{"Session":[0],"search":[1,217],"involves":[2],"a":[3,42,86,147,155,206],"series":[4],"of":[5,66,76,88,157,199],"interactive":[6],"queries":[7],"and":[8,69,105,125,168,186,194,208,219],"actions":[9],"to":[10,63,92,138,142,172,175,182],"fulfill":[11],"user's":[12],"complex":[13],"information":[14,179],"need.":[15],"Current":[16],"strategies":[17,218],"typically":[18],"prioritize":[19],"sequential":[20],"modeling":[21],"for":[22,45,111],"deep":[23],"semantic":[24,50],"understanding,":[25],"overlooking":[26],"the":[27,48,74,112,116,126,177,197,213],"graph":[28,95,144],"structure":[29],"in":[30],"interactions.":[31],"While":[32],"some":[33],"approaches":[34,71],"focus":[35],"on":[36,122,189],"capturing":[37],"structural":[38],"information,":[39],"they":[40],"use":[41],"generalized":[43],"representation":[44],"documents,":[46],"neglecting":[47],"word-level":[49],"modeling.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,83,129,153],"propose":[56],"Symbolic":[57],"Graph":[58],"Ranker":[59],"(SGR),":[60],"which":[61],"aims":[62],"take":[64],"advantage":[65],"both":[67],"text-based":[68],"graph-based":[70],"by":[72],"leveraging":[73],"power":[75],"recent":[77],"Large":[78],"Language":[79],"Models":[80],"(LLMs).":[81],"Concretely,":[82],"first":[84],"introduce":[85,154],"set":[87,156],"symbolic":[89,127,159],"grammar":[90],"rules":[91],"convert":[93],"session":[94,101],"into":[96],"text.":[97],"This":[98],"allows":[99],"integrating":[100],"history,":[102],"interaction":[103],"process,":[104],"task":[106],"instruction":[107],"seamlessly":[108],"as":[109],"inputs":[110],"LLM.":[113],"Moreover,":[114],"given":[115],"natural":[117],"discrepancy":[118],"between":[119,215],"LLMs":[120,174],"pre-trained":[121],"textual":[123,148],"corpora,":[124],"language":[128],"produce":[130],"using":[131],"our":[132,135,200],"graph-to-text":[133],"grammar,":[134],"objective":[136],"is":[137],"enhance":[139],"LLMs'":[140],"ability":[141],"capture":[143,176],"structures":[145],"within":[146],"format.":[149],"To":[150],"achieve":[151],"this,":[152],"self-supervised":[158],"learning":[160],"tasks":[161],"including":[162],"link":[163],"prediction,":[164],"node":[165],"content":[166],"generation,":[167],"generative":[169],"contrastive":[170],"learning,":[171],"enable":[173],"topological":[178],"from":[180],"coarse-grained":[181],"fine-grained.":[183],"Experiment":[184],"results":[185],"comprehensive":[187],"analysis":[188],"two":[190],"benchmark":[191],"datasets,":[192],"AOL":[193],"Tiangong-ST,":[195],"confirm":[196],"superiority":[198],"approach.":[201],"Our":[202],"paradigm":[203],"also":[204],"offers":[205],"novel":[207],"effective":[209],"methodology":[210],"that":[211],"bridges":[212],"gap":[214],"traditional":[216],"modern":[220],"LLMs.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
