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Functional Domain Prediction

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Functional Domain Prediction

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Research Frontiers in Graph Neural Networks for Domain Architecture

Application of graph-based neural networks to model complex domain relationships and architectural patterns within multi-domain proteins.

Hierarchical Graph Convolution in Protein Modularity
Equivariant Neural Networks for Domain Symmetry Detection
Message Passing Dynamics in Multidomain Protein Graphs
Graph Attention Over Domain Boundary Prediction
Topological Learning in Protein Architecture Networks
Domain Interface Inference Through Graph Pooling
Spectral Methods for Functional Motif Extraction
Heterogeneous Graph Learning in Protein Composition
Temporal Graph Evolution in Domain Reassignment
Graph Isomorphism and Domain Repeat Characterization

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