Graph Neural Networks (GNNs) have gained significant attention owing to their ability to handle graph-structured data and the improvement in practical applications. However, many of these models ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

Pyflame is a high performance profiling tool that generates flame graphs for Python. Pyflame is implemented in C++, and uses the Linux ptrace (2) system call to collect profiling information. It can ...

This is a PyTorch implementation of the Gated Graph Sequence Neural Networks (GGNN) as described in the paper Gated Graph Sequence Neural Networks by Y. Li, D. Tarlow, M. Brockschmidt, and R. Zemel.

We are progressively increasing the range of data available from CDO, in a variety of data formats including tables, data files (csv), PDF, graphs and maps. In addition, CDO provides the capability to ...

You can also use Python or R to perform network analysis tasks, such as importing data, creating network objects, computing network metrics, and plotting network graphs. Add your perspective ...