This thesis project introduces a clustering method using the heat and wave equations along with eigenvalues and eigenvectors. This approach is capable of clustering graphs into two partitions with a ...

Molecular Topology and Drug Design Research Unit, Department of Physical Chemistry, Faculty of Pharmacy, University of Valencia, Burjasot (Valencia), Spain. The present work illustrates a predictive ...

Autism spectrum disorders (ASD) imply a spectrum of symptoms rather than a single phenotype. ASD could affect brain connectivity at different degree based on the severity of the symptom. Given their ...

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend. Use ...

Experiments are carried out on a Titan RTX with Cuda 10.1. Library details can be found in requirements.txt. Notice: Cuda is enabled for default training settings ...

Abstract: This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Specifically, ...

Results of investigations into limiting factors of photosynthesis can be presented as a graph. Typically, these will have the following profiles. The rate of photosynthesis will increase as light ...

There are a number of standard graphs that you would be expected to recognise. These include \(\text{y = x}^2\) and \(\text{y =}-\text{x}^2\), \(\text{y = x}^3\) and ...

Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...

The present work illustrates a predictive method, based on graph theory, for different types of energy of subatomic particles, atoms and molecules, to be specific, the mass defect of the first ...