11 citations · 13 across the 4 of their papers we have counts for
3 papers · 1 filter
Exploring Molecule Generation Using Latent Space Graph Diffusion
Prashanth Pombala, Gerrit Grossmann, Verena Wolf
Generating molecular graphs is a challenging task due to their discrete nature and the competitive objectives involved. Diffusion models have emerged as SOTA approaches in data gen…
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
Zhifei Li, Gerrit Großmann, Verena Wolf
In recent years, a wide variety of graph neural network (GNN) architectures have emerged, each with its own strengths, weaknesses, and complexities. Various techniques, including r…
GINA: Neural Relational Inference From Independent Snapshots
Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler +1
Dynamical systems in which local interactions among agents give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring…