GitHub

A federated graph learning method to multi-party collaboration for molecular discovery

We use CUDA Version 11.7. If you have a different version of CUDA, please ensure that you install the appropriate versions of PyTorch and the CUDA toolkit that are ...
Frontiers

Multi-perspective hotel operation process anomaly prediction method based on graph transformer and autoencoder

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...
IEEE

Graph Learning for Power Flow Analysis: A Global-Receptive Graph Iteration Network Method

Abstract: The data-driven methods based on the graph convolution architecture provide a promising direction for accelerating power flow (PF) calculation. These methods directly predict operational ...
IEEE

Multi-Scale Temporal Interpolation Patch Graph Neural Network for Multivariate Time Series Forecasting With Missing Values

Abstract: Recent studies have revealed the significant potential of spatiotemporal graph neural networks for multivariate time series forecasting with missing values. These methods typically represent ...