Abstract: Graph classification has practical applications in diverse fields. Recent studies show that graph-based machine learning models are especially vulnerable to adversarial perturbations due to ...
Fork of tillahoffmann/jax-mps with full linear algebra, complex number support, comprehensive scatter/gather handling, and 2000+ tests. applejax achieves a modest 3x speed-up over the CPU backend when ...
Abstract: Sampling is a widely used graph reduction technique to accelerate graph computations and simplify graph visualizations. By comprehensively analyzing the literature on graph sampling, we ...
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