Chaitanya K. Joshi
5 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Research topics
Keywords
graph neural network
(4)
geometric deep learning
(3)
weisfeiler-lehman test
(1)
autoencoders
(1)
geometric graph neural network
(1)
molecular graph
(1)
latent diffusion
(1)
positional encoding
(1)
inverse design
(1)
molecular representation
(1)
protein structure
(1)
autoregressive decoding
(1)
protein folding
(1)
weisfeiler-leman test
(1)
physical symmetry
(1)
generative modelling
(1)
rna design
(1)
materials
(1)
molecules
(1)
representation learning
(1)
Papers
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
ICML 2025
gRNAde: Geometric Deep Learning for 3D RNA inverse design
ICLR 2025
Evaluating Representation Learning on the Protein Structure Universe
ICLR 2024
Benchmarking Graph Neural Networks
JMLR 2023
On the Expressive Power of Geometric Graph Neural Networks
ICML 2023