Search Results for author: Stanislav Sobolevsky

Found 5 papers, 1 papers with code

Hierarchical Graph Neural Networks

no code implementations7 May 2021 Stanislav Sobolevsky

This paper aims to connect the dots between the traditional Neural Network and the Graph Neural Network architectures as well as the network science approaches, harnessing the power of the hierarchical network organization.

Network Embedding

Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection

1 code implementation3 Mar 2021 Stanislav Sobolevsky

This paper proposes a new variant of the recurrent graph neural network algorithm for unsupervised network community detection through modularity optimization.

Community Detection

Pattern Ensembling for Spatial Trajectory Reconstruction

no code implementations25 Jan 2021 Shivam Pathak, Mingyi He, Sergey Malinchik, Stanislav Sobolevsky

Digital sensing provides an unprecedented opportunity to assess and understand mobility.

Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection

no code implementations5 Dec 2019 Urwa Muaz, Stanislav Sobolevsky

We propose use of an auxiliary classification task to extract features from unlabelled data by supervised learning, which can be used for unsupervised anomaly detection.

Feature Engineering General Classification +2

Semantic Enrichment of Mobile Phone Data Records Using Background Knowledge

no code implementations22 Apr 2015 Zolzaya Dashdorj, Stanislav Sobolevsky, Luciano Serafini, Fabrizio Antonelli, Carlo Ratti

This article addresses the issues in context awareness given heterogeneous and uncertain data of mobile network events missing reliable information on the context of this activity.

Cannot find the paper you are looking for? You can Submit a new open access paper.