Projects in Awesome Lists tagged with graphsage
A curated list of projects in awesome lists tagged with graphsage .
https://github.com/alibaba/euler
A distributed graph deep learning framework.
deep-learning gcn ggnn graph graph-convolutional-networks graph-embedding graph-learning graph-neural-networks graphsage network-embedding node2vec random-walk
Last synced: 05 Oct 2025
https://github.com/benedekrozemberczki/clustergcn
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch
Last synced: 04 Apr 2025
https://github.com/shenweichen/graphneuralnetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
gat gcn gnn graph-attention graphsage
Last synced: 13 Apr 2025
https://github.com/shenweichen/GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
gat gcn gnn graph-attention graphsage
Last synced: 01 May 2025
https://github.com/benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch
Last synced: 01 May 2025
https://github.com/benedekrozemberczki/graphwaveletneuralnetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
convolutional-neural-networks deep-learning deepwalk gcn gpt2 gpt3 graph-convolution graph-convolutional-network graph-neural-networks graph-representation graphsage gwnn iclr machine-learning node2vec pytorch research sklearn tensorflow transformer
Last synced: 05 Apr 2025
https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
convolutional-neural-networks deep-learning deepwalk gcn gpt2 gpt3 graph-convolution graph-convolutional-network graph-neural-networks graph-representation graphsage gwnn iclr machine-learning node2vec pytorch research sklearn tensorflow transformer
Last synced: 17 Apr 2025
https://github.com/matenure/FastGCN
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
fastgcn graph-convolutional-networks graphsage reddit
Last synced: 03 Apr 2025
https://github.com/kyzhouhzau/nlpgnn
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
albert albert-ner bert bert-cls bert-ner bilstm-attention gan gcn gin gnn gpt2 graph-classfication graph-convolutional-networks graphsage message-passing nlp tensorflow2 textcnn textgcn tf2
Last synced: 05 Apr 2025
https://github.com/benedekrozemberczki/sgcn
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
deep-learning deepwalk gcn gpt2 gpt3 graph-attention graph-convolution graph-embedding graph-neural-networks graphsage machine-learning network-embedding neural-network node-classification node2vec pytorch pytorch-geometric sgcn signed-network transformer
Last synced: 08 Apr 2025
https://github.com/benedekrozemberczki/SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
deep-learning deepwalk gcn gpt2 gpt3 graph-attention graph-convolution graph-embedding graph-neural-networks graphsage machine-learning network-embedding neural-network node-classification node2vec pytorch pytorch-geometric sgcn signed-network transformer
Last synced: 01 Apr 2025
https://github.com/benedekrozemberczki/gam
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
attention deep-reinforcement-learning deepwalk gcn graph-attention graph-classification graph-convolution graph2vec graphsage machine-learning neural-networks node2vec pytorch reinforcement-agent reinforcement-learning sklearn structural-attention transfer-learning
Last synced: 09 Apr 2025
https://github.com/benedekrozemberczki/GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
attention deep-reinforcement-learning deepwalk gcn graph-attention graph-classification graph-convolution graph2vec graphsage machine-learning neural-networks node2vec pytorch reinforcement-agent reinforcement-learning sklearn structural-attention transfer-learning
Last synced: 27 Mar 2025
https://github.com/bkj/pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
graph-convolutional-networks graphsage neural-network
Last synced: 07 Sep 2025
https://github.com/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.
dgl fraud-detection gnn graphdatabase graphsage nebulagraph
Last synced: 31 Aug 2025
https://github.com/njmarko/machine-learning-with-graphs
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
gat gcn gnn graph-neural-networks graphsage message-passing pytorch
Last synced: 18 Jul 2025
https://github.com/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
deepwalk gat gcn graph-embedding graphsage line metapathvec node2vec snde transe w2v
Last synced: 21 Apr 2025
https://github.com/jbris/nextflow-graph-machine-learning
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
deep-learning docker docker-compose dream5 gene-regulatory-network gene-regulatory-network-inference gene-regulatory-networks graph-neural-network graph-neural-networks graphsage machine-learning minio mlflow mlops nextflow nextflow-pipeline nextflow-pipelines variational-autoencoder variational-inference
Last synced: 26 Jun 2025
https://github.com/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.
casual-sampling gnn-model graphsage ids phishing-detection pytorch temporal-data
Last synced: 30 Jun 2025
https://github.com/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):
casual-sampling graphsage malware-analysis malware-detection python pytorch
Last synced: 13 Apr 2026
https://github.com/aveek-saha/viraliq
Code implementation & CLI tool for the paper: "Graph Based Temporal Aggregation for Video Retrieval"
graphsage msr-vtt resnet temporal-cluster video video-embedding video-retrieval
Last synced: 23 Oct 2025
https://github.com/kkonevets/gscounting
Multi-label propagation on graphs with GraphSage
geometric-deep-learning graphs-algorithms graphsage
Last synced: 23 Jul 2025
https://github.com/mahnoorsheikh16/explainable-fake-news-detection-and-personalized-credible-recommendation-via-graphml
System for detecting fake news and suggesting credible alternatives. Takes a news URL and outputs a credibility score, explanation, and top reliable sources. Uses TF-IDF + Logistic Regression, XGBoost, and DistilBERT with hybrid BERT–LightGCN models, plus SHAP and GNNExplainer for interpretability.
bert-embeddings binary-classification distilbert embedding-models fake-news-detection gnn-explainer graphml graphsage lightgcn logistic-regression pytorch recommendation-system shap tf-idf xgboost-classifier
Last synced: 08 Oct 2025
