Samuel Sledzieski
Molecular Biology · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 48 citations into it
Whom Samuel Sledzieski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Samuel Sledzieski's perspective
Ordered by how strongly the researchers Samuel Sledzieski trusts endorse each paper. Same corpus, a different order for every researcher.
- node2vec: Scalable Feature Learning for Networks
- Protein complex prediction with AlphaFold-Multimer
- Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
- Learning the Protein Language: Evolution, Structure and Function
- D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions
- Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology (Annual International Conference on Research in Computational Molecular Biology)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks