IEEE

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions

Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...
Wired

Hyperloop Physics Questions and Answers

Editor's Note: The Hyperloop is a totally imaginary transportation device that has captivated entrepreneur Elon Musk, who keeps talking about it. First imagined at least 100 years ago, it would ...
IEEE

Position-Aware Graph-CNN Fusion Network: An Integrated Approach Combining Geospatial Information and Graph Attention Network for Multiclass Change Detection

Abstract: Urban change detection (CD) is crucial for informed decision-making but faces various challenges, including complex features, rapid changes, and extensive human interventions. These ...
JSTOR Daily

UNIVERSALLY CONSISTENT VERTEX CLASSIFICATION FOR LATENT POSITIONS GRAPHS

In this work we show that, using the eigen-decomposition of the adjacency matrix, we can consistently estimate feature maps for latent position graphs with positive definite link function κ, provided ...