686 citations · 2.1k across the 39 of their papers we have counts for
42 papers
Foundation Models for the Electric Power Grid
Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev +24
Foundation models (FMs) currently dominate news headlines. They employ advanced deep learning architectures to extract structural information autonomously from vast datasets throug…
Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem
Alexander Belyi, Stanislav Sobolevsky, Alexander Kurbatski +1
We consider a variant of the clustering problem for a complete weighted graph. The aim is to partition the nodes into clusters maximizing the sum of the edge weights within the clu…
Hierarchical Graph Neural Networks
Stanislav Sobolevsky
Over the recent years, Graph Neural Networks have become increasingly popular in network analytic and beyond. With that, their architecture noticeable diverges from the classical m…
Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
Stanislav Sobolevsky
Network community detection often relies on optimizing partition quality functions, like modularity. This optimization appears to be a complex problem traditionally relying on disc…
Pattern Ensembling for Spatial Trajectory Reconstruction
Shivam Pathak, Mingyi He, Sergey Malinchik +1
Digital sensing provides an unprecedented opportunity to assess and understand mobility. However, incompleteness, missing information, possible inaccuracies, and temporal heterogen…
Transportation Interventions Reshaping NYC Commute: the Probabilistic Simulation Framework Assessing the Impacts of Ridesharing and Manhattan Congestion Surcharge
Devashish Khulbe, Chaogui Kang, Stanislav Sobolevsky
Understanding holistic impact of planned transportation solutions and interventions on urban systems is challenged by their complexity but critical for decision making. The corners…