BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Data Dimensionality Reduction Using a Neural Autoencoder with C#. ... Common use-cases include data visualization in a 2D graph ... states, loosely speaking, that a neural network with a single hidden ...

With AllegroGraph 7.2, users can create Graph Neural Networks (GNNs) and take advantage of a mature AI approach for Knowledge Graph enrichment via text processing for news classification, question ...

The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service, is authored by Peter W. Battaglia of Google's DeepMind unit, along with ...

An autoencoder is a neural network that learns to predict its input. After training, the demo scans through the 1,000 images and finds the one image which is most anomalous, ... Anomaly detection ...