Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
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Updated
Jul 19, 2024 - Python
Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
repo for learning graph neural network
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
GNN training in kubeflow.
Dist-DGL running on wsl2, minikube with single machine
DGL Implementation of "Efficient Sampling Techniques for Embedding Large Graphs". KCC 2022
Official DGL Implementation of "Distributed Graph Data Augmentation Technique for Graph Neural Network". KSC 2023
Comparative Analysis of Graph Neural Networks for Node Regression on Wiki-Squirrel dataset (bachelor's Research Project)
learning station embedding
Django Application of a Book Recommendation Graph Network (GraphSAGE)
Fraud Detection using various GNN models
Gradient gating (ICLR 2023)
CFG based program similarity using Graph Neural Networks
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
This repo contains scripts to crawl, analyze and model wikipedia user vandalism patterns.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
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