2 papers
cs.LG2025
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…
cs.LG2024
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
Zhifei Li, Gerrit GroÃmann, 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…