The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and ...

GNN, a framework to train robust GNNs under noisy conditions. Soft-GNN mitigates label noise impact through dynamic ...

To address this, we propose a novel framework, Causality-Aware Dynamic Multi-Graph Convolutional Network (CADGN), a multi-graph convolutional network that integrates causal inference and critical node ...

This project contains implementations for various imputation strategies to reconstruct missing node features in graph data. This is done to enhance the quality of downstream tasks such as node ...

Learn how the Seven Node Blueprint empowers you to create smarter, resilient AI agents that adapt, collaborate, and scale ...

This sample shows fully GPU-driven rendering through work graphs and mesh nodes in action. If you wish to learn more about this sample, work graphs or mesh nodes, you can check out our accompanying ...

Yaniv Tal co-founded The Graph to simplify blockchain data access using decentralized indexing. He later launched Geo to fix ...

Enterprises around the globe are transitioning to integrated frameworks that encompass multiple risk dimensions, ensuring ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...