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haoxiaodao's Projects

cayleynet icon cayleynet

Graph Convolutional Neural Networks with Complex Rational Spectral Filters

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

dcrn icon dcrn

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

deeplearningpython35 icon deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

dgcnn icon dgcnn

Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch

ecml-pkdd_mmcnn icon ecml-pkdd_mmcnn

MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification

eeg-dl icon eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-gcnn icon eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

eeg-motor-imagery icon eeg-motor-imagery

ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification

gcn_for_eeg icon gcn_for_eeg

Graph Convolutional Networks for 4-class EEG Classification

graph_nets icon graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphpartitionframework icon graphpartitionframework

This framework helps the development of programs which use algorithms for graph partitioning, enabling information handling both in memory and in a graph database. It was designed to work with 2-way, k-way and multilevel algorithms, providing support to the algorithms to make use of the Neo4J database structures. This feature allows the implementa

latex-templates icon latex-templates

A collection of LaTeX thesis templates and beyond (LaTeX/Word/Typst/Markdown等模板收藏,包括学位论文、演示文稿、简历等) ...

mi-eeg-1d-cnn icon mi-eeg-1d-cnn

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

oa-face-client icon oa-face-client

FJUT毕业设计 - 考勤管理桌面人脸刷卡端(百度AI人脸对比,OpenCV人脸检测)

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