← authors · overview

• Gini in a Bottleneck: Sparse Molecular Representations for Graph Convolutional Neural Networks
  2020
• Auto-Encoding Molecular Conformations
  2021
• Parameterized Hypercomplex Graph Neural Networks for Graph Classification
  2021
• Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
  2021
• Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
  2021
• Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
  2022
• Equivariant Graph Attention Networks for Molecular Property Prediction
  2022