{"id":"https://openalex.org/W4414360002","doi":"https://doi.org/10.24963/ijcai.2025/359","title":"Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts","display_name":"Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360002","doi":"https://doi.org/10.24963/ijcai.2025/359"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/359","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075093679","display_name":"Chaoxi Niu","orcid":"https://orcid.org/0000-0003-4529-8560"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaoxi Niu","raw_affiliation_strings":["University of Technology Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001991004","display_name":"Hezhe Qiao","orcid":"https://orcid.org/0000-0003-3511-0528"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hezhe Qiao","raw_affiliation_strings":["Singapore Management University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083551659","display_name":"Changlu Chen","orcid":"https://orcid.org/0000-0002-3268-7340"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Changlu Chen","raw_affiliation_strings":["City University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Macau","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411139","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0003-1934-5992"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["University of Technology Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039104219","display_name":"Guansong Pang","orcid":"https://orcid.org/0000-0002-9877-2716"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guansong Pang","raw_affiliation_strings":["Singapore Management University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3226","last_page":"3234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9745000004768372,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9477999806404114,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6481999754905701},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5881999731063843},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.48660001158714294},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.41040000319480896},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3549000024795532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35370001196861267},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3528999984264374},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.31299999356269836}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6481999754905701},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5881999731063843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5795999765396118},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.48660001158714294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43709999322891235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4277999997138977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41749998927116394},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3732999861240387},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2930999994277954},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.2648000121116638},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/359","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"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":{"Graph":[0],"anomaly":[1,116,186],"detection":[2,67],"(GAD),":[3],"which":[4],"aims":[5],"to":[6,85],"identify":[7],"nodes":[8],"in":[9,22,47,88,100,134],"a":[10,19,35,56,65,77,114,135,143],"graph":[11,40,79,90,124],"that":[12,63,103,175,198],"significantly":[13,200],"deviate":[14],"from":[15],"normal":[16,121],"patterns,":[17],"plays":[18],"crucial":[20],"role":[21],"broad":[23],"application":[24],"domains.":[25],"However,":[26],"existing":[27],"GAD":[28,60,74,147,195,208],"methods":[29,204],"are":[30],"one-model-for-one-dataset":[31,218],"approaches,":[32],"i.e.,":[33],"training":[34,71],"separate":[36],"model":[37,75],"for":[38,146],"each":[39],"dataset.":[41],"This":[42],"largely":[43],"limits":[44],"their":[45],"applicability":[46],"real-world":[48,194],"scenarios.":[49],"To":[50],"overcome":[51],"this":[52],"limitation,":[53],"we":[54],"propose":[55],"novel":[57],"zero-shot":[58],"generalist":[59,144,207],"approach":[61],"UNPrompt":[62,101,141,199],"trains":[64],"one-for-all":[66],"model,":[68],"requiring":[69],"the":[70,105,155,177,206,217],"of":[72,107,159,179],"one":[73,152],"on":[76,193],"single":[78],"dataset":[80],"and":[81,118,122,157,210],"then":[82],"effectively":[83],"generalizing":[84],"detect":[86],"anomalies":[87],"other":[89],"datasets":[91,196],"without":[92],"any":[93],"retraining":[94],"or":[95],"fine-tuning.":[96],"The":[97],"key":[98],"insight":[99],"is":[102,221],"i)":[104],"predictability":[106,183],"latent":[108,130,180],"node":[109,131,138,160,181],"attributes":[110,161],"can":[111,126],"serve":[112],"as":[113,184],"generalized":[115,120,172],"measure":[117],"ii)":[119],"abnormal":[123],"patterns":[125],"be":[127],"learned":[128],"via":[129,165],"attribute":[132,139,182],"prediction":[133],"properly":[136],"normalized":[137],"space.":[140],"achieves":[142],"mode":[145],"through":[148],"two":[149],"main":[150],"modules:":[151],"module":[153,170],"aligns":[154],"dimensionality":[156],"semantics":[158],"across":[162,188],"different":[163,189],"graphs":[164],"coordinate-wise":[166],"normalization,":[167],"while":[168],"another":[169],"learns":[171],"neighborhood":[173],"prompts":[174],"support":[176],"use":[178],"an":[185],"score":[187],"datasets.":[190],"Extensive":[191],"experiments":[192],"show":[197],"outperforms":[201],"diverse":[202],"competing":[203],"under":[205,216],"setting,":[209],"it":[211],"also":[212],"has":[213],"strong":[214],"superiority":[215],"setting.":[219],"Code":[220],"available":[222],"at":[223],"https://github.com/mala-lab/UNPrompt.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}