Unified model may explain vibrational anomalies in solids

Phonons are sound particles or quantized vibrations of atoms in solid materials. The Debye model, a theory introduced by ...
GitHub

Graph Frequency Filtering Learning (GF2L)

This repository contains the implementation of GF2L (Graph Frequency Filtering Learning), as proposed in our paper: Beyond Contrast and Generation: Graph Frequency Filtering Learning for ...
IEEE

Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting

Abstract: With rapid urbanization and technological advancements, increasing population density has posed significant challenges for urban traffic management. Traffic flow forecasting is essential for ...
GitHub

JxdEngineer/ModalGNN_Freq_Domain

28/12/2024: Please note that this repository is currently under development and will undergo significant updates following the publication of our paper. 18/08/2025 ...
C&EN

Density of States Prediction by a Metric-Optimized Equivariant Graph Neural Network

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
C&EN

Neural Mulliken Analysis: Molecular Graphs from Density Matrices for QSPR on Raw Quantum-Chemical Data

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00425. Article Views are the COUNTER-compliant sum of full text ...
Oak Ridge National Lab

Probability Density Function Control of Frequency Fluctuations in Renewable-Rich Power Systems...

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...
Frontiers

Learning-driven load frequency control for islanded microgrid using graph networks-based deep reinforcement learning

As the complexity of microgrid systems, the randomness of load disturbances, and the data dimensionality increase, traditional load frequency control methods for microgrids are no longer capable of ...
Frontiers

Graph-based EEG approach for depression prediction: integrating time-frequency complexity and spatial topology

Depression has become the prevailing global mental health concern. The accuracy of traditional depression diagnosis methods faces challenges due to diverse factors, making primary identification a ...