A sequence-graph model using gated modulation of methylation signals by eight handcrafted DNA sequence features achieves 3.149 years MAE on 3707 samples, a 12.8% gain over graph baselines.
On over-squashing in message passing neural networks: the impact of width, depth, and topology
2 Pith papers cite this work. Polarity classification is still indexing.
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GHR uses hierarchical recurrence on pooled graph abstractions to improve long-range dependency capture and out-of-range generalization while using far fewer parameters than existing models.
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Bridging Sequence and Graph Structure for Epigenetic Age Prediction
A sequence-graph model using gated modulation of methylation signals by eight handcrafted DNA sequence features achieves 3.149 years MAE on 3707 samples, a 12.8% gain over graph baselines.
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Graph Hierarchical Recurrence for Long-Range Generalization
GHR uses hierarchical recurrence on pooled graph abstractions to improve long-range dependency capture and out-of-range generalization while using far fewer parameters than existing models.