Kapil Devkota

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 16 citations into it

Whom Kapil Devkota trusts overall

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

1. Tristan Bepler
2. Aditya Grover

Papers from Kapil Devkota's perspective

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

1. node2vec: Scalable Feature Learning for Networks
2. Protein complex prediction with AlphaFold-Multimer
3. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
4. Learning the Protein Language: Evolution, Structure and Function
5. D-SCRIPT translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions
6. Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology (Annual International Conference on Research in Computational Molecular Biology)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Topsy-Turvy: integrating a global view into sequence-based PPI prediction (2022) — 48 citations