Easy Abstract

We propose a Continuous Neighbors Aggregation method named CoNA that models the continuous dynamics of discrete-time embeddings with neural Ordinary Differential Equation (ODE).We further propose a parallel Euler method with adaptive step size to solve the ODEs in CoNA efficiently.

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