GEL detects anomalous nodes by scoring evidential uncertainty from feature and topology reconstruction, reporting gains on four of five benchmark datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Graph Evidential Learning for Anomaly Detection
GEL detects anomalous nodes by scoring evidential uncertainty from feature and topology reconstruction, reporting gains on four of five benchmark datasets.