Dec 27, 2018 · Abstract:Neural Architecture Search (NAS) enabled the discovery of state-of-the-art architectures in many domains.

In this paper, we present a graph neural architecture search method (GraphNAS) that enables automatic design of the best graph neural architecture based on ...

Jul 8, 2020 · To preserve graph correlation information in encoding, we propose NASGEM which stands for Neural Architecture Search via Graph Embedding Method.

In this paper, we propose Graph Neural Architecture. Search (GNAS) with novel-designed search space and gradient-based search strategy to automatically learn ...

We propose a more expressive formulation of NAS, using a graph search space. Our search space is defined as a graph where each decision is a vertex and each ...

Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine ...

May 18, 2021 · In this work, we propose a novel dynamic one-shot search space for multi-branch neural architectures of GNNs.

Neural architecture search automates the design of neural network architectures usually by exploring a large and thus complex architecture search space.

If the architecture is deeper than two layers, a possible solution is to set a time- sensitive parameter to control the total search time over the search space.

Its goal is to find the optimal neural architecture in the predefined search space to maximize the model performance on a given task. It has been widely ...