Stephan Günnemann
4 papers in the PaperMetrix corpus
Papers by this author
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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, …
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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 …
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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 …
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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 …