What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Look closely at this image, stripped of its caption, and join the moderated conversation about what you and other students see. By The Learning Network Look closely at this image, stripped of ...

A space micro-motion targets recognition method based on radar network systems (RNS) with a dual-channel bidirectional gated recurrent unit (BiGRU)-Transformer-graph fusion (DC-BiGT-GF) network is ...

Learning-based motion planners, especially those leveraging graph neural networks (GNNs), have emerged as promising approaches to accelerate motion planning. However, current GNN-based planners suffer ...

Interpreting Graph Transformers for Long-Range Interactions is an attention-based explainer framework for graph transformers, taking inspiration from attention-based explainers for traditional NLP ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

For the second year in a row, language service providers self-identified as specializing in interpreting saw greater growth than generalists and companies with other focuses. Slator’s survey of 50 ...

Deceptive actions in sports, such as head fakes, present cognitive challenges by misleading opponents with irrelevant cues, requiring individuals to resolve conflicting information. This study ...