IEEE

Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs

Abstract: We investigate graph convolution networks with efficient learning from higher-order graph convolutions and direct learning from adjacency matrices for node classification. We revisit the ...
GitHub

GCN Based Classification of Masked Nodes in Molecular Graphs Using FreeSolv Dataset

In this study, a Graph Convolutional Network (GCN) model was trained to predict the masked node class (Carbon: C, Nitrogen: N or Oxygen: O) using molecular graphs generated from FreeSolv dataset. Each ...
IEEE

Weighted Graph Structure Learning with Attention Denoising for Node Classification

Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...
GitHub

PoSHBlox: Visual PowerShell node graph scripting

PoSHBlox lets you visually compose PowerShell scripts by wiring together nodes on a canvas. Each node represents a cmdlet, control-flow block, or custom script fragment. Connections between nodes ...