Graph energy is defined to be the p-norm of adjacency matrix associated to the graph for p= 1 elaborated as the sum of the absolute eigenvalues of adjacency matrix. The graph’s spectral radius ...

CDKs control cell cycle progression and transcription, pathways commonly dysregulated in cancer. This study identifies a ...

In this paper, we present an empirical study of iterative least squares minimization of the Hamilton-Jacobi-Bellman (HJB) residual with a neural network (NN) approximation of the value function.

README PyTorch Implementation of Symplectic Adjoint Method A neural network model of a differential equation, namely, neural ODE, has enabled the learning of continuous-time dynamical systems and ...

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...