Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions. With graphs becoming more pervasive and richer ...

Research team introduced Soft-GNN, a framework to train robust GNNs under noisy conditions. Soft-GNN mitigates label noise impact through dynamic data selection, achieving better performance and ...

TF-GNN provides building blocks for implementing GNN models in TensorFlow. Beyond the modeling APIs, the library also delivers tooling around the task of working with graph data, including a data ...