4 datasets found

The dataset used in the paper is a graph-based active learning problem, where the goal is to achieve a low error rate while querying as few nodes as possible.

Federated Noisy Student Training for Automatic Speech Recognition

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

The dataset used in the paper is a heterogeneous graph, which is a graph that contains multiple types of nodes and edges. The dataset is used for semi-supervised graph learning...