The 75th Regeneron International Science and Engineering Fair (ISEF), the world's largest and most prestigious science competition, concluded on May 16 with the Grand Awards ceremony in host city ...

In this paper, we propose a novel recommendation framework named CVGAE (short for camouflaged variational graph autoencoder), which effectively models user behaviors and mitigates the risk of user ...

A dynamic graph variational autoencoder (DGVAE) is developed to learn the generative spatiotemporal features of the dynamic graph. The DGVAE incorporates a new edge propagation graph convolutional ...

How to show more historical data? Use the zoom-out option. You can add up to 100 technical indicators to your graph, such as Linear Regression, CCI, ADX, and many more. In our commitment to ...

These graphs explain what has happened and point to a complex picture of what has gone right and wrong with the economy over the last three years. Milk, bread, chicken, fruit, eggs, cheese ...

├── autoencoder.py # Main VQ-VAE model implementation ├── config.yaml # Configuration file for model and training ├── dataset.py # Dataset loader for image data ├── ema.py # Exponential Moving Average ...

A PyTorch implementation of a Graph Autoencoder (GAE) for Reduced Order Modeling (ROM) of Navier-Stokes equations on unstructured meshes. This project provides an efficient framework for learning ...