Andrew Baxter

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

Whom Andrew Baxter trusts

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

  1. S. Parasuraman (in Molecular Biology)
  2. Arthur J. Olson (in Computational Theory and Mathematics)

Papers from Andrew Baxter's perspective

Ordered by how strongly the researchers Andrew Baxter 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. Graph Attention Networks (International Conference on Learning Representations)
  3. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  4. How Powerful are Graph Neural Networks?
  5. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
  6. Development and validation of a genetic algorithm for flexible docking.
  7. Simplifying Graph Convolutional Networks
  8. Extended-Connectivity Fingerprints
  9. Open Babel: An open chemical toolbox
  10. A semiempirical free energy force field with charge‐based desolvation (Journal of Computational Chemistry)

Their papers