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Westlake University
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MemNovo rebalances peptide and spectral contributions during decoding, leading to up to 39.1% improvement in peptide precision without additional computational costs.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
