graphsage

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

gcn iclr graph-sampling graphsage gat jk-net ipdps

UpdatedAug 12, 2022
Python

kyzhouhzau /NLPGNN

Star337

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

nlp tf2 gin gan albert bert message-passing graph-convolutional-networks gcn textcnn graphsage bilstm-attention gnn tensorflow2 gpt2 bert-ner bert-cls albert-ner graph-classfication textgcn

UpdatedAug 14, 2024
Python

benedekrozemberczki /SGCN

Sponsor

Star276

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

machine-learning deep-learning neural-network pytorch deepwalk transformer network-embedding gcn node2vec graph-embedding node-classification graphsage graph-neural-networks graph-convolution graph-attention signed-network sgcn pytorch-geometric gpt2 gpt3

UpdatedMar 18, 2023
Python

benedekrozemberczki /GAM

Sponsor

Star274

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

machine-learning reinforcement-learning sklearn deep-reinforcement-learning pytorch deepwalk neural-networks attention transfer-learning gcn node2vec graph-classification graphsage graph2vec structural-attention graph-convolution graph-attention reinforcement-agent

UpdatedNov 6, 2022
Python

XiaShan1227 /GNN-Tutorial

Star198

B站GNN教程资料

pytorch networkx attention-mechanism link-prediction gcn graphsage gat pytorch-geometric gnn heterogeneous-graph-neural-network gatv2 cluster-gcn

UpdatedSep 5, 2024
Jupyter Notebook

bkj /pytorch-graphsage

Star143

Representation learning on large graphs using stochastic graph convolutions.

neural-network graph-convolutional-networks graphsage

UpdatedMay 8, 2018
Python

quqixun /GNN-Pytorch

Star98

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

graph pytorch gcn grand graphsage fastgcn gat gnn gnn-pytorch sagpool mincutpool

UpdatedJan 12, 2025
Python

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

Star94

GraphSAGE and GAT for link prediction.

deep-learning pytorch graphsage graph-neural-networks graph-attention-network

UpdatedSep 11, 2019
Jupyter Notebook

YinzhenWan /recome_wan

Star84

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。

line deepwalk mind dcn node2vec din deepfm graphsage sdne fibinet gru4rec youtubednn lightgcn eges mmoe comirec

UpdatedApr 11, 2023
Python

Firyuza /GraphSAGE

Star67

Graph Neural Networks

tensorflow graphsage gat

UpdatedAug 5, 2020
Python

tk-rusch /gradientgating

Star55

Gradient gating (ICLR 2023)

pytorch message-passing gcn iclr graphsage graph-neural-networks gat pytorch-geometric heterophily oversmoothing iclr2023

UpdatedMay 11, 2023
Python

nhtsai /graph-rec

Star44

Senior Capstone Project: Graph-Based Product Recommendation

deep-learning recommender-system graphsage graph-neural-networks dgl amazon-product-reviews graph-data-analysis pinsage

UpdatedMar 15, 2021
Jupyter Notebook

GraphSAINT /GNN-ARCH

Star43

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

fpga accelerator hardware-acceleration gcn graphsage

UpdatedMar 30, 2021
Verilog

wey-gu /NebulaGraph-Fraud-Detection-GNN

Star39

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.

fraud-detection graphsage gnn graphdatabase dgl nebulagraph

UpdatedAug 6, 2022
Jupyter Notebook

aravi11 /funcGNN

Star36

CFG based program similarity using Graph Neural Networks

python3 source-code-analysis graphsage mloncode similarity-detection gnn-learning gnn-framework

UpdatedMar 21, 2023
Python

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