Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems ...

Abstract: The recently developed approach to motion planning in graphs of convex sets (GCS) provides an efficient framework for computing shortest-distance collision-free paths using convex ...

Thermal Properties of Matter Formulas & Definitions: Students can find a list of important diagrams and formulas for CBSE Class 11 Physics Chapter 10, Thermal Properties of Matter. Use the PDF ...

Hevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, Hungary Laboratory of Molecular Structure and Dynamics, Institute of Chemistry, ELTE ...

1 Department of Mathematics, Uttara University, Dhaka, Bangladesh. 2 Department of Computer Science & Engineering, Prime University, Dhaka, Bangladesh. 3 Department of Mathematics, Jashore University ...

This repository is the code release corresponding to an article introducing graph neural networks (GNNs) with feature-wise linear modulation (Brockschmidt, 2019). In the paper, a number of GNN ...

Graph theory can be used to model and explain different phenomena from physics. In this paper, we show that one can interpret quantum experiments composed of linear optics and probabilistic sources ...

Friedrich-Alexander-University Erlangen-Nuremberg, Chair of Reliable Circuits and Systems Paul-Gordan, Erlangen, Germany. There are various methods in the circuit technology to ca1culate transfer ...