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Methods in Molecular Biology (Clifton, N.J.)
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September 23, 2024
gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design
Chaitanya K Joshi, Pietro Liò
IEEE Transactions on Neural Networks and Learning Systems
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April 7, 2021
Multigraph Transformer for Free-Hand Sketch Recognition
Peng Xu, Chaitanya K Joshi, Xavier Bresson
IEEE Transactions on Neural Networks and Learning Systems
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December 2, 2022
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K Joshi, Fayao Liu, Xu Xun, et al.
Nature Machine Intelligence
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September 29, 2023
Hypergraph factorization for multi-tissue gene expression imputation
Ramon Viñas, Chaitanya K Joshi, Dobrik Georgiev, et al.
Biorxiv : the Preprint Server for Biology
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June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv
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June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv
|
July 1, 2024
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
Rishabh Anand, Chaitanya K Joshi, Alex Morehead, et al.
Arxiv
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July 1, 2024
Evaluating Representation Learning on the Protein Structure Universe
Arian R Jamasb, Alex Morehead, Chaitanya K Joshi, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2026
De novo design of RNA pseudoknots with deep learning
Jill Townley, Wipapat Kladwang, David Baker, et al.
Chemical Research in Toxicology
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May 2, 2025
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
Srijit Seal, Manas Mahale, Miguel García-Ortegón, et al.
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Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Methods in Molecular Biology (Clifton, N.J.)
|
September 23, 2024
gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design
Chaitanya K Joshi, Pietro Liò
IEEE Transactions on Neural Networks and Learning Systems
|
April 7, 2021
Multigraph Transformer for Free-Hand Sketch Recognition
Peng Xu, Chaitanya K Joshi, Xavier Bresson
IEEE Transactions on Neural Networks and Learning Systems
|
December 2, 2022
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K Joshi, Fayao Liu, Xu Xun, et al.
Nature Machine Intelligence
|
September 29, 2023
Hypergraph factorization for multi-tissue gene expression imputation
Ramon Viñas, Chaitanya K Joshi, Dobrik Georgiev, et al.
Biorxiv : the Preprint Server for Biology
|
June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv
|
June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv
|
July 1, 2024
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
Rishabh Anand, Chaitanya K Joshi, Alex Morehead, et al.
Arxiv
|
July 1, 2024
Evaluating Representation Learning on the Protein Structure Universe
Arian R Jamasb, Alex Morehead, Chaitanya K Joshi, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2026
De novo design of RNA pseudoknots with deep learning
Jill Townley, Wipapat Kladwang, David Baker, et al.
Chemical Research in Toxicology
|
May 2, 2025
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
Srijit Seal, Manas Mahale, Miguel García-Ortegón, et al.
Page
of 2