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Ai Epigenomics

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Ai Epigenomics

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Research Frontiers in Graph Neural Networks for Chromatin Architecture

Using graph-based deep learning to model three-dimensional chromatin interactions and predict long-range regulatory relationships.

Topological Invariants in 3D Chromatin Folding Networks
Graph Attention Mechanisms for Enhancer-Promoter Communication
Heterogeneous Chromatin State Prediction via Message Passing
Spectral Graph Learning of Nucleosome Positioning Codes
Dynamic Graph Neural Networks in Phase Separation Domains
Long-Range Chromatin Interaction Inference from Sparse Hi-C
Graph Pooling Strategies for Multiscale Chromatin Architecture
Causal Graph Discovery in Epigenomic Regulatory Networks
Temporal Graph Networks in Replication Timing Dynamics
Geometric Deep Learning for TAD Boundary Prediction

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