Notably, some geometric intersection graphs, even in the absence of small complete subgraphs (for example, triangle-free graphs), demonstrably require a high chromatic number, thus challenging ...

Abstract: Chronic obstructive pulmonary disease (COPD) is one of the most severe respiratory diseases and can be diagnosed by several clinical modalities such as spirometric measures, lung function ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

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.

I am trying to capture an entire model and run it in inference mode (only the forward pass) with CUDA-Graphs enabled. I am using torch compile with mode=reduce-overhead. There are all-reduce calls for ...

We introduce the Geometric-DESIGNN method, which integrates Geometric Guidance with Directed Electrostatics Strategy within a Graph Neural Network framework to predict the stable configuration of ...