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Training higher-order Topological Neural Networks on massive graphs like Reddit is now possible, thanks to a novel clustering-based mini-batching strategy that slashes GPU memory requirements by over 80%.
Stop reinventing the wheel for PHM evaluation: Picid offers a modular, reproducible infrastructure that handles everything from data splits to metrics.
Stop reimplementing papers in isolation: a framework-guided agent can turn under-specified methods into executable, assumption-aware, and systematically comparable benchmarks.
