{"id":"https://openalex.org/W7166812376","doi":"https://doi.org/10.18653/v1/2026.findings-acl.398","title":"Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning","display_name":"Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166812376","doi":"https://doi.org/10.18653/v1/2026.findings-acl.398"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.398","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.398","pdf_url":"https://aclanthology.org/2026.findings-acl.398.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.398.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139818212","display_name":"Yuanye Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yuanye Xu","raw_affiliation_strings":["School of Computer Science , Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I99418890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139778445","display_name":"Linyi Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Linyi Guo","raw_affiliation_strings":["School of Computer Science , Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I99418890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139734299","display_name":"Yue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I99418890","display_name":"Northwestern Polytechnic University","ror":"https://ror.org/05wn69s11","country_code":"US","type":"education","lineage":["https://openalex.org/I99418890"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Computer Science , Northwestern Polytechnical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science , Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I99418890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132945433","display_name":"Ning Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Ning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.802213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8127","last_page":"8148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8828999996185303,"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":0.8828999996185303,"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":0.0364999994635582,"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/T10028","display_name":"Topic Modeling","score":0.016100000590085983,"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":0.5163000226020813},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.24469999969005585},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.24009999632835388},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.23749999701976776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126999855041504},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5163000226020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3084999918937683},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25270000100135803},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.24469999969005585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2443999946117401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24040000140666962},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.24009999632835388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.23749999701976776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.398","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.398","pdf_url":"https://aclanthology.org/2026.findings-acl.398.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.398","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.398","pdf_url":"https://aclanthology.org/2026.findings-acl.398.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166812376.pdf","grobid_xml":"https://content.openalex.org/works/W7166812376.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"increasingly":[4],"rely":[5],"on":[6,98],"external":[7],"knowledge":[8],"to":[9],"mitigate":[10],"hallucinations,":[11],"yet":[12],"retrieving":[13],"precise":[14],"multi-hop":[15],"evidence":[16],"for":[17,129],"knowledge-augmented":[18,131],"reasoning":[19,96,117],"remains":[20],"difficult.Existing":[21],"Knowledge":[22],"Graph":[23,61],"(KG)-based":[24],"Retrieval-Augmented":[25],"Generation":[26,52],"(RAG)":[27],"systems":[28],"insufficiently":[29],"model":[30],"the":[31,74,123],"interaction":[32],"between":[33],"query":[34,67],"semantics":[35,68],"and":[36,44,69,81,90,100,110,113],"relation":[37,70],"types,":[38],"resulting":[39],"in":[40,106],"imprecise":[41],"subgraph":[42,83],"retrieval":[43,55],"unstable":[45],"reasoning.We":[46],"propose":[47],"Queryaware":[48],"Subgraph":[49],"Retrieval":[50],"Augmented":[51],"(QSRAG),":[53],"a":[54,59],"framework":[56],"built":[57],"upon":[58],"Query-Relational":[60],"Attention":[62],"Network":[63],"(QR-GAT)":[64],"that":[65],"integrates":[66],"embeddings":[71],"directly":[72],"into":[73],"attention":[75],"mechanism,":[76],"enabling":[77],"fine-grained":[78],"triple":[79],"scoring":[80],"scalable":[82],"construction.This":[84],"query-relation":[85,127],"conditioning":[86],"improves":[87],"relevance":[88],"estimation":[89],"suppresses":[91],"noisy":[92],"edges,":[93],"producing":[94],"faithful":[95],"subgraphs.Experiments":[97],"WebQSP":[99],"CWQ":[101],"establish":[102],"new":[103],"state-of-the-art":[104],"results":[105],"both":[107],"Triple":[108],"Recall":[109],"Answer":[111],"Recall,":[112],"significantly":[114],"enhance":[115],"LLMs":[116],"accuracy":[118],"without":[119],"fine-tuning.These":[120],"findings":[121],"underscore":[122],"effectiveness":[124],"of":[125],"modeling":[126],"interactions":[128],"reliable":[130],"reasoning.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}