Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for nonEuclidean data on graphs, which often require a large amount of labeled data with high cost. It it ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for.

When teaching students about functions for the first time, educators find it useful for students to experiment with plotting functions using Desmos. “It’s great to just use the simple graphing ...

Using the QUAST (Mikheenko et al., 2018) evaluation tool to assess the assembly results, GTasm has shown good performance in evaluation metrics such as misassemblies, NA50, and NGA50. 2 Methods GTasm ...

We use LLMs with few-shot label samples to construct a heart failure knowledge graph through three main steps: schema design, information extraction, and knowledge graph completion.

In this study, we compared the prediction accuracy between molecular and crystal graphs for band gap prediction. The results showed that the prediction accuracies using crystal graphs were better than ...

We use a temporal graph model and link prediction to identify transformations of DOM molecules in a photo-oxidation experiment. Our link prediction algorithm simultaneously considers educt removal and ...

In this paper, we use graph rewriting to specify these transformations so that we can work towards automating them. Specifically, we use the PROGRES tool to formulate executable graph-rewriting ...

Graphing calculators remain a staple for advanced math classes and on the desks of professionals in several fields, including engineering and finance (also check out the best financial calculators).

Graphing calculators have more advanced capabilities for higher-level math than scientific calculators, with larger, more dynamic screens for graphing functions and plotting coordinates.