The graph below shows the total number of publications each year in Metric Dimension in Graph Theory and Network Analysis. References [1] PP-GNN: Pretraining Position-aware Graph Neural Networks ...

Mixed-Mode Oscillations (MMOs): Oscillatory patterns that alternate between small- and large-amplitude cycles, often observed in systems with multiple timescales.

Can you picture what we'll be/ So limitless and free/ Desperately in need of some stranger's hand” - The Doors In the 1990s ...

In her new book, "Murderland," Caroline Fraser argues that the rise of these criminals has deep roots in the release of ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

With a sub-$1,000 price, exceptional quality, and innovative resin management features, the Anycubic Photon Mono M7 Max is a ...

Superconductivity is an advantageous physical phenomenon observed in some materials, which entails an electrical resistance ...

Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although convolutional neural ...

Some important classes of directed graphs; Mixed graphs; Conclusions; Problems; No Access. FOUNDATIONS OF ELECTRICAL NETWORK THEORY. Pages: 36–139; ... Professor Chen is widely known in the profession ...

Hypercubes, meshes, tori, and Omega networks are well-known interconnection networks for parallel computers. The structure of those graphs can be described in a more general framework called cube ...

This repo presents PyTorch implementation of Multi-targe Graph Domain Adaptation framework from "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" CVPR 2021. The framework is pivoted ...