Tan-Qiyu

AAAI2020_FSRL

code of FSRL

CapsGNN

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

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

GNN_FD

基于图神经网络的机械故障诊断

Machine_Learning_For_Fault_Diagnosis

基于机器学习的机械故障诊断

Mechanical_Fault_Diagnosis_Dataset

机械故障诊断公开数据集

MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

narrow_band_decomp

vibration signals narrow-band decomposition & inst-frequency extraction code

PHMGNNBenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

Tan-Qiyu/GNN_FD

基于图神经网络的机械故障诊断

Tan-Qiyu/Deep_Learning_For_Fault_Diagnosis

基于深度学习的机械故障诊断

Tan-Qiyu/Machine_Learning_For_Fault_Diagnosis

基于机器学习的机械故障诊断

Tan-Qiyu/Mechanical_Fault_Diagnosis_Dataset

机械故障诊断公开数据集

Tan-Qiyu/PHMGNNBenchmark

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

Tan-Qiyu/CapsGNN

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

Tan-Qiyu/DAGCN

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

Tan-Qiyu/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Tan-Qiyu/narrow_band_decomp

vibration signals narrow-band decomposition & inst-frequency extraction code

Tan-Qiyu/AttentionWalk

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

Tan-Qiyu/DL-based-Intelligent-Diagnosis-Benchmark

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

Tan-Qiyu/egnn

Tan-Qiyu/Electronics

电路、电力电子、模电、数电、电机控制等

Tan-Qiyu/Embedded_System

嵌入式系统

Tan-Qiyu/GraphHeat

A TensorFlow implementation of GraphHeat

Tan-Qiyu/GraphNeuralNetwork

《深入浅出图神经网络：GNN原理解析》配套代码

Tan-Qiyu/GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

Tan-Qiyu/gsp-summer-school-2016

Organization of a Graph Signal Processing Summer School

Tan-Qiyu/keras-gcn

Keras implementation of Graph Convolutional Networks

Tan-Qiyu/LCGNN

A pytorch implementation of LCGNN

Tan-Qiyu/paper-cnn-graph-nips2016

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Tan-Qiyu/paper-cnn-graph-recurrent-iclr2017

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Tan-Qiyu/PSCN

A python implementation of Patchy-San Convolutional Network for Graph

Tan-Qiyu/pygcn

Graph Convolutional Networks in PyTorch

Tan-Qiyu/pygsp

Graph Signal Processing in Python

Tan-Qiyu/Rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

Tan-Qiyu/SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

Tan-Qiyu/SimGNN

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Tan-Qiyu/simplicial_neural_networks

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

Tan-Qiyu/WaveletKernelNet

This is the code for WaveletKernelNet.