Tan-Qiyu
Research Interests:Fault diagnosis, Deep Learning, Graph Neural Networks, etc. Job Content:Embedded System, DSP, STM32, Power Electronics, etc.
Henan Polytechnic University, Xinjiang University, BYD AUTOXi'an, China
Pinned Repositories
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's Repositories
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.