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LiveGraph tackles the cold-start problem in exercise recommendation by actively constructing a graph that connects active and inactive students, leading to improved accuracy and diversity.
SubQuad tackles the computational bottleneck of adaptive immune repertoire analysis with a near-quadratic-free approach that also corrects for dataset imbalances, enabling more equitable and scalable biomarker discovery.
Achieve robust multimodal sentiment analysis, even with noisy or incomplete data, by explicitly modeling hierarchical relationships in hyperbolic space.
