Fergus Boyles
Molecular Biology · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 25 citations into it
- Computational Theory and Mathematics — 17 citations into it
- Materials Chemistry — 6 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Fergus Boyles trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Fergus Boyles's perspective
Ordered by how strongly the researchers Fergus Boyles trusts endorse each paper. Same corpus, a different order for every researcher.
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- Graph Attention Networks (International Conference on Learning Representations)
- Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
- How Powerful are Graph Neural Networks?
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- Development and validation of a genetic algorithm for flexible docking.
- Protein data bank
- Simplifying Graph Convolutional Networks
- Extended-Connectivity Fingerprints
- Open Babel: An open chemical toolbox