CAMERA is an ego-decoupled mixture-of-experts model with context-informed gating and one-class objectives for unsupervised fraud detection in text-attributed graphs facing semantic camouflage.
Dgp: A dual-granularity prompting framework for fraud detection with graph-enhanced llms
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
The report summarizes key research directions, challenges, and solutions from the LLM+Graph workshop at VLDB 2025.
citing papers explorer
-
CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
CAMERA is an ego-decoupled mixture-of-experts model with context-informed gating and one-class objectives for unsupervised fraud detection in text-attributed graphs facing semantic camouflage.
-
LLM+Graph@VLDB'2025 Workshop Summary
The report summarizes key research directions, challenges, and solutions from the LLM+Graph workshop at VLDB 2025.