There are 1 repository under gnn-algorithm topic.
Meta graph convolutional neural network-assisted resilient swarm communications
A Multi-relational Graph-Based Twitter Account Detection Benchmark
with GUG, Let's explore the Graph Neural Network!
This repo contains the code and data of "Graph Matching with Bi-level Noisy Correspondence".
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.
Real-Time Obstacle Detection & Tracking in Maritime Environment for USVs using YOLO and EKF
Data and code of CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Introductory code for basic graph neural networks.
This repository contains implementation of Graph Attention Networks(GATs) using Pytorch.
SelfGNNplus achieves up to 5.97% improvement in Hit Rate and 6.41% in NDCG compared to the best baseline models. Ablation studies highlight the critical role of interval-level dependencies, revealing their substantial impact on recommendation accuracy. The study also examines the effects of key hyperparameters on model performance and computation.
Repository for FAME and A-FAME used to perform bias mitigation when using GNNs
This project demonstrates parallelization techniques for Graph Neural Networks (GNNs) using: CUDA for GPU acceleration MPI (mpi4py) for distributed computing Python Multiprocessing for parallel processing The implementation uses the PubMed dataset from PyTorch Geometric and a 2-layer GCN model.