azzazry/Tugas-Akhir

GNN Project: GraphSAGE and GraphSVX

Language: Python - Size: 19.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

abasit/gnn-node-classification

PyTorch Geometric implementations of GraphSAGE and GAT (Graph Attention Networks) for node classification on citation networks.

Language: Python - Size: 23.4 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

anwanguow/graph_descriptor_deep_learning

The deep learning implementations of the four key experiments presented in the preprint https://arxiv.org/abs/2408.06156

Language: Python - Size: 1.93 GB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

spk-22/BotNet-Insight

An advanced deep learning solution for detecting IoT botnet attacks, specifically Mirai, leveraging the power of GNNs. This project transforms raw IoT device network traffic into dynamic graph structures and employs a GraphSAGE model for robust and efficient anomaly detection, enhancing the security posture of interconnected devices.

Language: Jupyter Notebook - Size: 338 KB - Last synced at: 13 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0

spk-22/Phish-Guard

A comprehensive deep learning framework for phishing detection, utilizing Graph Neural Networks (GraphSAGE) to analyze interconnected web features. Features include temporal graph construction, causal learning for robust time-series analysis, and integrated noise injection testing to evaluate model resilience against data imperfections.

Language: Python - Size: 47.9 KB - Last synced at: 13 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0

spk-22/Mal-Aware

This project focuses on the classification of malware based on system process behavior. It utilizes machine learning techniques to analyze features extracted from running processes to distinguish between benign and malicious software. The goal is to develop an effective and interpretable model for real-time malware detection. Tags (for GitHub):

Language: Python - Size: 38.1 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0

alibaba/euler

A distributed graph deep learning framework.

Language: C++ - Size: 2.49 MB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 2,899 - Forks: 558

benedekrozemberczki/ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Language: Python - Size: 14.2 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 799 - Forks: 136

shenweichen/GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Language: Python - Size: 5.35 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 815 - Forks: 185

benedekrozemberczki/GraphWaveletNeuralNetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Language: Python - Size: 4.15 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 595 - Forks: 117

mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

kyzhouhzau/NLPGNN

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Language: Python - Size: 205 KB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 334 - Forks: 66

wey-gu/NebulaGraph-Fraud-Detection-GNN

An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGraph Database and DGL.

Language: Jupyter Notebook - Size: 487 KB - Last synced at: about 2 hours ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 3

benedekrozemberczki/SGCN

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Language: Python - Size: 13 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 275 - Forks: 57

YeonwooSung/PyTorch_GNN_Implementation

PyTorch implementation of GNN models

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 17 - Forks: 3

HuichuanLI/GraphNeuralNetWork

玩转图神经网络和知识图谱的相关算法：GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 6

benedekrozemberczki/GAM

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Language: Python - Size: 2.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 273 - Forks: 57

Moritz-Link/BookRecommendation

Django Application of a Book Recommendation Graph Network (GraphSAGE)

Language: Jupyter Notebook - Size: 36.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bkj/pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

Language: Python - Size: 6.36 MB - Last synced at: 6 days ago - Pushed at: about 7 years ago - Stars: 138 - Forks: 28

matenure/FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Language: Python - Size: 4.96 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 524 - Forks: 112

0M1J/kubeflow-GNN

GNN training in kubeflow.

Language: Python - Size: 702 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 4

njmarko/machine-learning-with-graphs

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 3

SarahNasir54/Graph_Sage

This repository contain implementation of GraphSage using Weibo Rumor dataset

Language: Python - Size: 6.84 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

JBris/nextflow-graph-machine-learning

A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.

Language: Python - Size: 5.69 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 1

Ryan-PG/citation-network-gnn

A project using Graph Neural Networks (GNNs) to classify nodes in the Cora citation network. Implements GCN and GraphSAGE models using PyTorch Geometric to classify academic papers based on citation relationships. Includes preprocessing, model training, evaluation, and visualizations.

Language: Python - Size: 628 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

msancor/SNOM

Repository made for the First Homework of the Social Networks & Online Markets Course of the Masters in Data Science Course at the Sapienza University of Rome. The main purpose of the project was studying different Social Networks properties and models along with getting hands-on experience on the use of GNNs for link and node prediction.

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

MohammadYasinKarbasian/Community-Detection-On-OGBN-Arxiv

This repository contains the code and results of my Machine Learning on Graphs course project, where I applied various community detection methods to the OGBN-ArXiv dataset.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Linnore/GNN-Playground

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

Language: Python - Size: 330 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

manhph2211/MC-OCR

The task aims at extracting required fields in receipts captured by mobile devices :smile:

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 5

anomic1911/gcn-graphsage-benchmarking

This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.

Language: Jupyter Notebook - Size: 856 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 2

nhtsai/graph-rec

Senior Capstone Project: Graph-Based Product Recommendation

Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 11

Linnore/GNN-Cora-CUHKSZAG

This repo contains Pytorch-Lightning implementations of GCN and GraphSAGE for Node Classification and Link Prediction (as a way for Recommendation System) on the Cora dataset and CUHKSZ-AG dataset.

Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

YinzhenWan/recome_wan

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

Language: Python - Size: 783 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 3

MChatzakis/mutegenic-molecule-detection

Graph Convolution Neural Networks for Mutagenic Molecule Detection

Language: Jupyter Notebook - Size: 729 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

XiaShan1227/GNN-Tutorial

B站GNN教程资料

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 4

anticipated-chemistry-of-life/GNN

Graph Neural Network predicting the chemical composition of organism across the tree of life.

Language: Jupyter Notebook - Size: 3.93 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

meongju0o0/Efficient-Sampling-Techniques-for-Embedding-Large-Graphs

DGL Implementation of "Efficient Sampling Techniques for Embedding Large Graphs". KCC 2022

Language: Python - Size: 56.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

meongju0o0/DistMHAug

Official DGL Implementation of "Distributed Graph Data Augmentation Technique for Graph Neural Network". KSC 2023

Language: Python - Size: 279 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

meongju0o0/graphsage-on-docker

running graphsage on docker container

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zamirmehdi/GNN-Node-Regression

Comparative Analysis of Graph Neural Networks for Node Regression on Wiki-Squirrel dataset (bachelor's Research Project)

Language: Python - Size: 7.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

liamhbyrne/Graph4StackOverflow

Graph Neural Networks for Expertise Classification on Stack Overflow

Language: Jupyter Notebook - Size: 131 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

GraphSAINT/GraphSAINT

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

Language: Python - Size: 3.78 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 437 - Forks: 84

atsushi-green/station2vec

learning station embedding

Language: Python - Size: 644 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

asultans/DRUG-GRAPH

GraphSAGE Implementation with Jumping Connections

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mgh5225/GraphSAGE

PyTorch implementation of Inductive Representation Learning on Large Graphs (https://arxiv.org/pdf/1706.02216.pdf)

Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

wilcoln/graphsage

Reproduction of the paper "Inductive Representation Learning on Large Graphs"

Language: Python - Size: 42.1 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 4

Firyuza/GraphSAGE

Graph Neural Networks

Language: Python - Size: 668 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 65 - Forks: 7

Rishujamaiyar/Similarity-Detection-using-Graph-SAGE-Python

Explained Graph Embedding generation and link prediction

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

Rishujamaiyar/Graph_Clustering

Graph Clustering using different techniques. [Node2vec, GraphSAGE, Agglomerative]

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

jamesYu365/grahsage

A PyTorch implementation of GraphSAGE

Language: Python - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Frank-qlu/GNN

Principles of various GNN algorithms and implementation of various GNN algorithms using DGL[ GNN各种算法原理以及实现(DGL)，初学者必备]

Language: Python - Size: 2.76 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

djtom98/Graph-Based-Analysis-Earnings-Calls

Prediction of abnormal return of selected publically trading pharma companies using NLP techniques and tools; special focus on graph-based representation of transcripts of a conversation.

Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

tk-rusch/gradientgating

Gradient gating (ICLR 2023)

Language: Python - Size: 241 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 2

aravi11/funcGNN

CFG based program similarity using Graph Neural Networks

Language: Python - Size: 18.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 7

raunakkmr/GraphSAGE-and-GAT-for-link-prediction

GraphSAGE and GAT for link prediction.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 51 - Forks: 14

quqixun/GNN-Pytorch

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

Language: Python - Size: 5.25 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 44 - Forks: 6

DanieleMorotti/Songs-recommendation-from-lyrics

A simple songs recommendation system implemented for the 'Text Mining' course at the University of Bologna.

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

GraphSAINT/GNN-ARCH

[ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)

Language: Verilog - Size: 743 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 6

Jash-2000/Dark-Web-analysis

Research Project I completed under Dr Vinti Agrawal at BITS Pilani.

Language: Jupyter Notebook - Size: 186 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 0

raunakkmr/GraphSAGE

PyTorch implementation of GraphSAGE.

Language: Python - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 3

preetham-salehundam/Wikipedia-Vandalism-detection

This repo contains scripts to crawl, analyze and model wikipedia user vandalism patterns.

Language: Python - Size: 27.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

amilovanovikj/GraphSAGELinkPredictionDBpediaArtists

Link prediction on the DBpedia graph of musical artists using GraphSAGE

Language: Jupyter Notebook - Size: 8.55 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

wahlby-lab/spage2vec

Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 4

Aveek-Saha/VIRALIQ

Code implementation & CLI tool for the paper: "Graph Based Temporal Aggregation for Video Retrieval"

Language: Python - Size: 1010 KB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

farkoo/Graph-Mining

Graph Mining course @ IUT-4001

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Pilladian/link-stealing-attack

Bachelor Thesis

Language: TeX - Size: 56.4 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

NIRVANALAN/graphsage-pytorch

pytorch version of graphsage

Language: Python - Size: 6.35 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

kkonevets/gscounting

Multi-label propagation on graphs with GraphSage

Language: C++ - Size: 456 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

trannhatquy/CS224W_Winter2021

CS224W Winter 2021 Machine learning with Graphs

Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0