{"id":"https://openalex.org/W7162578293","doi":"https://doi.org/10.48550/arxiv.2605.26446","title":"DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection","display_name":"DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162578293","doi":"https://doi.org/10.48550/arxiv.2605.26446"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.26446","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26446","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":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.2605.26446","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137134138","display_name":"Yuxin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yuxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034443119","display_name":"Limei Hu","orcid":"https://orcid.org/0000-0001-8899-0771"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Limei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137154065","display_name":"Feng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Feng","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":0.914900004863739,"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":0.914900004863739,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.029899999499320984,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.013199999928474426,"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":0.6488999724388123},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5299999713897705},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4542999863624573},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4311999976634979},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.3407000005245209}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6488999724388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659000277519226},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5299999713897705},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4311999976634979},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3255999982357025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.29910001158714294},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.26446","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26446","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.26446","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26446","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph":[0],"anomaly":[1,74,150],"detection":[2,62,75],"(GAD)":[3],"aims":[4],"to":[5,60,81,120],"identify":[6],"nodes":[7,49,93,113],"or":[8,12],"substructures":[9],"whose":[10],"behavior":[11],"attributes":[13],"deviate":[14],"significantly":[15],"from":[16,40,181],"the":[17,41,51,101,121,125,172,182,199,202],"overall":[18],"pattern":[19],"in":[20,26],"graph-structured":[21],"data,":[22],"with":[23],"critical":[24],"applications":[25],"financial":[27],"risk":[28],"control,":[29],"social":[30],"network":[31],"analysis,":[32],"and":[33,84,96,107,116,129,146,156,189],"cybersecurity.":[34],"However,":[35],"existing":[36],"GCN-based":[37],"methods":[38],"suffer":[39],"fundamental":[42],"problem":[43],"of":[44,53,104,184,201],"contamination":[45,136],"propagation,":[46,137],"where":[47],"anomalous":[48,85,112,179],"pollute":[50],"representations":[52],"their":[54],"neighbors":[55],"through":[56],"message":[57,132],"passing,":[58],"leading":[59],"degraded":[61],"performance.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,138],"propose":[68],"DDGAD,":[69],"a":[70,140,163],"novel":[71],"diffusion-based":[72],"graph":[73],"framework":[76],"that":[77,91],"leverages":[78],"trajectory":[79],"dynamics":[80,118],"distinguish":[82],"normal":[83,92,168],"nodes.":[86],"Our":[87],"key":[88],"insight":[89],"is":[90],"exhibit":[94,114],"consistent":[95],"stable":[97],"representation":[98],"trajectories":[99],"under":[100,171],"coupled":[102,173],"effects":[103],"diffusion":[105],"regularization":[106],"reliability-aware":[108,142],"neighborhood":[109],"consensus,":[110],"while":[111],"unstable":[115],"conflicting":[117],"due":[119],"directional":[122],"disagreement":[123],"between":[124],"global":[126],"manifold":[127],"prior":[128],"locally":[130],"contaminated":[131],"passing.":[133],"To":[134],"mitigate":[135],"introduce":[139],"distributed":[141],"consensus":[143,187],"refinement":[144],"mechanism":[145],"define":[147],"three":[148],"complementary":[149],"signals:":[151],"neighbor":[152],"inconsistency,":[153,186],"reliability":[154],"weight,":[155],"dynamical":[157,190],"conflict":[158],"energy.":[159],"We":[160],"further":[161],"provide":[162],"preliminary":[164],"theoretical":[165],"analysis":[166],"on":[167,194],"node":[169],"stability":[170],"dynamics.":[174],"These":[175],"signals":[176],"collectively":[177],"characterize":[178],"behaviors":[180],"perspectives":[183],"local":[185],"reliability,":[188],"instability.":[191],"Extensive":[192],"experiments":[193],"five":[195],"real-world":[196],"datasets":[197],"demonstrate":[198],"effectiveness":[200],"proposed":[203],"framework.":[204]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}