GitHub

GFAffix identifies walk-preserving shared affixes in variation graphs and collapses them into a non-redundant graph structure.

GFAffix is written in RUST and requires a working RUST build system for installation. See https://www.rust-lang.org/tools/install for more details.
GitHub

Ecological Graph Theory (EcoGT)

The methodology presented here is described in depth in Kalirad, A., & Sommer, R. J. (2025). Ecological graph theory: Simulating competition and coexistence on graphs ...
IEEE

Exploiting the Structure of Two Graphs With Graph Neural Networks

Abstract: As the volume and complexity of modern datasets continue to increase, there is an urgent need to develop deep-learning architectures that can process such data efficiently. Graph neural ...
IEEE

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs

Abstract: Graph neural networks (GNNs) stack layers alternating graph convolutions and pointwise nonlinearities. Since graph convolutions are parametrized locally, their weights are independent of the ...