Stephan Günnemann

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, …

Linearizing Belief Propagation for Ecient Label Propagation

2015

How can we tell when accounts are fake or real in a social network? And how can we tell which accounts belong to liberal, conser- vative or centrist users? Often, we can answer such questions …

Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

2018 · International Conference on Learning Representations

Methods that learn representations of nodes in a graph play a critical role in network analysis since they enable many downstream learning tasks. We propose Graph2Gauss - an approach that can efficiently learn versatile node …

Diffusion Improves Graph Learning

2019 · arXiv (Cornell University)

Graph convolution is the core of most Graph Neural Networks (GNNs) and usually approximated by message passing between direct (one-hop) neighbors. In this work, we remove the restriction of using only the direct neighbors by …