{"id":"https://openalex.org/W7138474890","doi":"https://doi.org/10.48550/arxiv.2603.14006","title":"Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs","display_name":"Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138474890","doi":"https://doi.org/10.48550/arxiv.2603.14006"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14006","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14006","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129714853","display_name":"Hang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Hang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129698569","display_name":"Dimitris N. Metaxas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Metaxas, Dimitris N.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.951200008392334,"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":0.951200008392334,"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":0.019700000062584877,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.009800000116229057,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6226999759674072},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.597599983215332},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4997999966144562},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.44609999656677246},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.35600000619888306},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3481000065803528},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3197000026702881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711899995803833},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6226999759674072},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5221999883651733},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.44609999656677246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3603000044822693},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296999931335449},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3197000026702881},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14006","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14006","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14006","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14006","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"GraphRAG":[0,123],"is":[1],"increasingly":[2],"adopted":[3],"for":[4],"converting":[5],"unstructured":[6],"corpora":[7],"into":[8],"graph":[9,17,90],"structures":[10],"to":[11,58,77,103,110],"enable":[12],"multi-hop":[13],"reasoning.":[14],"However,":[15],"standard":[16],"algorithms":[18],"rely":[19],"heavily":[20],"on":[21,129],"static":[22],"connectivity":[23],"and":[24,50,70,81,106,122,151],"explicit":[25,61],"edges,":[26],"often":[27],"failing":[28],"in":[29],"real-world":[30],"scenarios":[31],"where":[32],"knowledge":[33],"graphs":[34],"(KGs)":[35],"are":[36],"noisy,":[37],"sparse,":[38],"or":[39],"incomplete.":[40],"To":[41],"address":[42],"this":[43],"limitation,":[44],"we":[45,92],"introduce":[46],"INSES":[47,63,94,117],"(Intelligent":[48],"Navigation":[49],"Similarity":[51],"Enhanced":[52],"Search),":[53],"a":[54,96],"dynamic":[55],"framework":[56],"designed":[57],"reason":[59],"beyond":[60],"edges.":[62],"couples":[64],"LLM-guided":[65],"navigation,":[66],"which":[67],"prunes":[68],"noise":[69],"steers":[71],"exploration,":[72],"with":[73,95,114],"embedding-based":[74],"similarity":[75],"expansion":[76],"recover":[78],"hidden":[79],"links":[80],"bridge":[82],"semantic":[83],"gaps.":[84],"Recognizing":[85],"the":[86,130],"computational":[87],"cost":[88],"of":[89],"reasoning,":[91],"complement":[93],"lightweight":[97],"router":[98],"that":[99],"delegates":[100],"simple":[101],"queries":[102],"Na\u00efve":[104],"RAG":[105,121],"escalates":[107],"complex":[108],"cases":[109],"INSES,":[111],"balancing":[112],"efficiency":[113],"reasoning":[115],"depth.":[116],"consistently":[118],"outperforms":[119],"SOTA":[120],"baselines":[124],"across":[125,137],"multiple":[126],"benchmarks.":[127],"Notably,":[128],"MINE":[131],"benchmark,":[132],"it":[133],"demonstrates":[134],"superior":[135],"robustness":[136],"KGs":[138],"constructed":[139],"by":[140,148],"varying":[141],"methods":[142],"(KGGEN,":[143],"GraphRAG,":[144],"OpenIE),":[145],"improving":[146],"accuracy":[147],"5%,":[149],"10%,":[150],"27%,":[152],"respectively.":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}
