YelpChi
PulseAugur coverage of YelpChi — every cluster mentioning YelpChi across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New EB-GAD framework offers training-free graph anomaly detection
Researchers have introduced EB-GAD, a novel training-free framework for graph anomaly detection. This method models normality as a graph-aware relaxation process and uses Empirical Bayes to fit the graph precision from …
-
New framework enhances fraud detection with conformal prediction
Researchers have developed ProtoCP, a new conformal prediction framework designed to improve fraud detection in temporal interaction graphs. This method addresses challenges like class imbalance and noisy calibration si…
-
New PREF-Gate framework improves graph fraud detection by fusing evidence sources · 3 sources tracked
Researchers have developed PREF-Gate, a novel framework for graph fraud detection that addresses the challenge of fusing label-free graph context with label-derived neighborhood evidence. This auditable decision framewo…