Abstract Discovering ideal Graph Neural Networks (GNNs) architectures for different tasks is
labor intensive and time consuming. To save human efforts, Neural Architecture Search …

While classic studies proved that wide networks allow universal approximation, recent
research and successes of deep learning demonstrate the power of deep networks. Based …

While classic studies proved that wide networks allow universal approximation, recent
research and successes of deep learning demonstrate the power of deep networks. Based …

While neural architecture search methods have been successful in previous years and led to
new state-of-the-art performance on various problems, they have also been criticized for …

Deep learning has recently achieved huge successes in many applications including natural
language processing, computer vision, medical imaging, and so on. In these cases, deep …