HyCoSeq: Contextual Hyperbolic Representation Learning for Genomic Sequences

HyCoSeq is a new framework for learning genomic representations in hyperbolic space. It combines weighted Lorentzian residual aggregation with multi‑curvature Lorentz encoding, enabling full Lorentz representations to contribute directly to local aggregation. A bidirectional LSTM further captures contextual relationships across the sequence, extending local hyperbolic convolutions to sequence‑level representations. Experiments show HyCoSeq surpasses existing hyperbolic baselines and competes with much larger pretrained DNA language models without large‑scale pretraining.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

• llms
• safety