The US economy stays resilient with improving indicators, strong stocks, and continued expansion. Click for more on key ...

In this paper, we advance graph classification to handle multi-graph learning for complicated objects, where each object is represented as a bag of graphs and the label is only available to each bag ...

However, this positive-negative relationship does not accurately reflect the differences and similarities between data, thereby reducing the accuracy of node classification. Therefore, we have ...

The ISA-PN model enables the quantification of the contributions of molecular substructures through positive and negative attention scores. Comparative analyses of the ISA, ISA-PN, and GC-Net (group ...

It is common for Internet of Things (IoT) devices, industrial sensors, meters, precision, and medical equipment to require both a positive and negative voltage. Often, these voltages must be ...

You've probably heard of film negatives, but there is actually an opposite, called positive film. It's less common today, but can be good for certain projects.

Suppose we are given a directed graph G on vertices v1, …, vn, where each vertex vi has weight w (vi) (either positive, negative, or 0), and a constant c ≥ 0.

Learn how to detect, avoid, or exploit negative cycles or weights in graph algorithms, and what are some common applications and techniques for shortest paths and maximum flows.

Next, it learns the feature representation of each microbe–disease pair using graph attention autoencoder based on the obtained disease similarity and microbe similarity matrices. Third, it selects a ...