DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning

Architecture attribute predictors reduce the cost of neural architecture search by estimating accuracy or latency from a small set of evaluated candidates. The key difficulty is that neural architectures are operation-labeled DAGs: edge direction defines computational flow, but existing predictors o