GitHub

Official implementation of "Discover network dynamics with neural symbolic regression".

This repository contains the code and data for the experiments in the paper. The code is written in Python and PyTorch. The code was tested with Python 3.12.2 and PyTorch 2.4.0+cu121 on Ubuntu 18.04.6 ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit Design and Convergence Analysis

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...
C&EN

Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...
IEEE

GIGNet: A Graph-in-Graph Neural Network for Automatic Modulation Recognition

Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
C&EN

Grand-Canonical Equivariant Neural Potentials for Electrochemical Interfaces

State Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China Department of Chemical Physics, School of Chemistry and Materials ...