Leman Akoglu

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

2016

Review fraud is a pervasive problem in online commerce, in which fraudulent sellers write or purchase fake reviews to manipulate perception of their products and services. Fake reviews are often detected based on several signs, …

Issues with Propagation Based Models for Graph-Level Outlier Detection

2020 · arXiv (Cornell University)

Graph-Level Outlier Detection (GLOD) is the task of identifying unusual graphs within a graph database, which received little attention compared to node-level detection in a single graph. As propagation based graph embedding by GNNs and …

D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments

2022 · arXiv (Cornell University)

How can we detect outliers, both scattered and clustered, and also explicitly assign them to respective micro-clusters, without knowing apriori how many micro-clusters exist? How can we perform both tasks in-house, i.e., without any post-hoc …