Abstract: Graph neural networks (GNNs) have excelled in handling graph-structured data, attracting significant research interest. However, two primary challenges have emerged: interference between ...
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Abstract: Heterogeneous graphs provide a powerful framework for modeling complex relationships across multiple modalities, such as text, images, and structured subgraphs. A central question addressed ...
float rho_i = max(float(rho.Load(u1 * 4)) / INT_SCALE, rho_0); float rho_j = max(float(rho.Load(u2 * 4)) / INT_SCALE, rho_0); // Tait equation: p = k * ((ρ/ρ₀)^γ ...
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