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Shortest paths research narrows a 25-year gap in graph algorithms
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...
Abstract: Accurate molecular property prediction is of great importance for AI-based drug design and bioinformatics. Despite recent promising progress, existing methods face challenges due to ...
Abstract: Graph neural networks (GNNs) are recognized as a significant methodology for handling graph-structure data. However, with the increasing prevalence of learning scenarios involving multiple ...
देव (deva) — divine, celestial. Graph algorithms are the divine mathematics underlying all networks. A production-ready, zero-dependency TypeScript graph library with 20+ algorithms spanning traversal ...
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