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Realtime Fraud Detection With Gnn On Dgl ⭐ 191

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

Pytorch Direct_dgl ⭐ 32

PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

Nebula Dgl ⭐ 30

NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)

Dgl Tutorial ⭐ 27

This Repository includes DGL tutorials and various information related to graph neural networks.

Maxp_dgl_graph ⭐ 24

2021 MAXP 命题赛任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www

DGL implementation of GNN-CCA: Graph Neural Networks for Cross-Camera Data Association [arXiv:2201.06311]

Learnable_dropedge ⭐ 5

Multilabel Aspect Prediction using Graph Convolutional Networks

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