Dominik K. Klein

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Materials Chemistry — 6 citations into it

Whom Dominik K. Klein trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Parasuraman
2. Zhihai Liu
3. Thomas Kipf
4. Ruth Huey
5. Garrett M. Morris
6. William L. Hamilton
7. Arthur J. Olson

Papers from Dominik K. Klein's perspective

Ordered by how strongly the researchers Dominik K. Klein trusts endorse each paper. Same corpus, a different order for every researcher.

1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Graph Attention Networks (International Conference on Learning Representations)
7. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
8. Attention is All you Need (Neural Information Processing Systems)
9. How Powerful are Graph Neural Networks?
10. Gradient-based learning applied to document recognition

Their papers

• Protein-Ligand Interaction Graphs: Learning from Ligand-Shaped 3D Interaction Graphs to Improve Binding Affinity Prediction (2022) — 24 citations