Abstract: Graph neural networks (GNNs) have demonstrated success as surrogate models for fluid simulations with smoothly varying dynamics, but their efficacy for discrete element method (DEM) ...
Abstract: Graphs are integral to model real-world complex systems like social networks, citation networks, transaction networks etc. Real-world graphs are mostly heterogeneous, continuously evolving ...
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