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aaai2020_fsrl

code of FSRL

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

capsgnn

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

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

deep_learning_for_fault_diagnosis

基于深度学习的机械故障诊断

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

egnn

electronics

电路、电力电子、模电、数电、电机控制等

embedded_system

嵌入式系统

few-shot-gnn

fewshot-egnn

fewshotwithoutforgetting

gae

Implementation of Graph Auto-Encoders in TensorFlow

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnn_fd

基于图神经网络的机械故障诊断

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-attention-nets

Implementation of MoNet (mixture model CNN) and GAT (Graph Attention Network) tested on MNIST and Cora datasets using Tensorflow 2.0.

graphheat

A TensorFlow implementation of GraphHeat

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphqembed

Learning to query complex networks

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

gsp-summer-school-2016

Organization of a Graph Signal Processing Summer School

gwnn

A TensorFlow implementation of Graph Wavelet Neural Network

hierarchical-pooling

Implemenation of the paper "Towards Sparse Hierarchical Graph Classifier" tested on Enzymes and Proteins datasets using Python 3.6 and Tensorflow 2.0.

kdd2019_hetgnn

code of HetGNN

keras-gcn

Keras implementation of Graph Convolutional Networks

lcgnn

A pytorch implementation of LCGNN