SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.
Learning discrete structures for graph neural networks
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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.