gerritgr

MoleculeDiffusionGAN

WIP implementation of a discriminator-guided diffusion model for molecule generation.

GINA

Neural Graph Inference From Independent Snapshots of Interacting Systems

non-markovian-simulation

Fast simulation of non-Markovian SIS and SIR-type models on complex networks in Julia.

DeepDiffusionSeminar2024

NetworkEpidemicPlayground-React

Continuous-time stochastic simulation of epidemic spreading on human-to-human contact networks.

Rejection-Based-Epidemic-Simulation

Official Rust implementation of our event-driven, rejection-based Monte-Carlo simulation algorithm for SIR-type dynamcis on complex networks.

Covid19Dispersion

Official implementation of "Why ODE models for COVID-19 fail: Heterogeneity shapes epidemic dynamics"

Insa

Network Reconstruction via Sensitivity Analysis

pokemon_diffusion

StochasticNetworkedCovid19

Official Implementation of our stochastic network-based COVID-19 simulation.

BD-Reduction

DL4MolecularGraph

Literature of deep learning for graphs in Chemistry and Biology

Alia

DSNN

Deep Sets Are Viable Graph Learners

gerritgr.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

gerritgr.github.io.backup

personal academic webiste

GinaBaseline

GraphDiffusion

graphgenbaseline

JuliusBA

LumPy

Model Reduction of the Approximate Master Equation for Epidemic Processes on Complex Networks

MaskedGraphGen

NetworkEpidemicPlayground

Testing Streamlit for Epidemic-type Spreading Processes on Contact Networks

nextaid

nextaid_bdprocess

phd

Official repository for Gerrit's dissertation thesis

Simba

Simulation-based vaccine allocation

SpatialBranchingProcess

Example implementation of the Spatial Branching Process model to study epidemic diffusion in 2D-space.

SPECTRE

Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML 2022)

teachopencadd

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data