Structural Hierarchy and Geometry in Molecular Representation Learning
cs.LG, q-bio.BM
Submitted: 2026-08-30
Updated: 2026-08-30
Terminology
Sources
- A Simple Framework for Contrastive Learning of Visual Representations
- Hyperbolic Image-Text Representations
- Strategies for Pre-training Graph Neural Networks
- Poincar'e Embeddings for Learning Hierarchical Representations
- Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
- Representation Learning with Contrastive Predictive Coding
- Molecular Contrastive Learning of Representations via Graph Neural Networks
- How Powerful are Graph Neural Networks?
- Graph Contrastive Learning with Augmentations
- Hyperbolic Molecular Representation Learning for Drug Repositioning
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