IEEE

UniqueRank: Identifying Important and Difficult-to-Replace Nodes in Attributed Graphs

Abstract: Node-ranking methods that focus on structural importance are widely used in a variety of applications, from ranking webpages in search engines to identifying key molecules in biomolecular ...
GitHub

Android XR Samples for Unity

These simple, yet playful, samples demonstrate Android XR platform features and show how to implement the experiences. This project uses both the Android XR: OpenXR package and Android XR extensions ...
IEEE

Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract)

Abstract: Graphs are ubiquitous in the real world, in graphs, nodes represent entities and edges capture their relationships. Recently, graph neural networks (GNNs) [3]–[6] have been proposed to ...
GitHub

Survey of Graph Neural Network Models On DergiPark Scientific Article Dataset

Graph Convolutional Network (GCN), GraphSAGE, and Graph Attention Network (GAT) models are used in node classification and node clustering tasks. Variational graph autoencoder (VGAE) model is used in ...