Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...

We review the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are a family of probabilistic graphical models, other examples of which are ...

Network modeling is a powerful alternative in computational biology for deciphering valuable and novel insights into complex molecular interactions and functions of biological systems (Guzzi and Roy, ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Identifying drug–target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target interactions has low coverage and high costs.

9/23/2021: Create a "latest" branch to enable running IGMC with latest PyG versions. 11/23/2020: Optimized the subgraph extraction speed further. On large datasets it shows up to 20 times speed-up.

This repository is not maintained anymore. An updated version of the sparse codebase in this repo, together with many more GNN implementations, is available on https ...