haoxiaodao's Stars
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Jinminbox/PGCN
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
erinqhu/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
yi-ding-cs/EmT
This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.
samuel-gibbon/BabyRhythm
Deep learning with infant EEG
meagmohit/EEG-Datasets
A list of all public EEG-datasets
muhanzhang/pytorch_DGCNN
PyTorch implementation of DGCNN
diningphil/gnn-comparison
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
bknyaz/graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
liun-online/WaveGC
Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'
haoxiaodao/EEGMotorImagery
EEG motor imagery classification using convolutional neural networks
rootskar/EEGMotorImagery
EEG motor imagery classification using convolutional neural networks
hantang/latex-templates
A collection of awesome LaTeX Thesis/Dissertation templates and beyond! (LaTeX / Word / Typst / Markdown 格式的学位论文、演示文稿、报告、项目申请书、简历、书籍等模板收藏)
cuishiyao96/eegcned
Source code for Findings of EMNLP2020 paper Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.
zhongpeixiang/RGNN
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
robintibor/high-gamma-dataset
ivam-he/ChebNetII
PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
conferencesub/ICLR_2020
amoliu/CayleyNet
Graph Convolutional Neural Networks with Complex Rational Spectral Filters
zsverko/Code_CPCC
yueliu1999/DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
loukasa/graph-coarsening
Multilevel graph coarsening algorithm with spectral and cut guarantees
ufvceiec/EEGRAPH
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
neerajwagh/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.
MLNLP-World/Top-AI-Conferences-Paper-with-Code
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
magnumical/GCN_for_EEG
Graph Convolutional Networks for 4-class EEG Classification
inducer/pymetis
A Python wrapper around Metis, a graph partitioning package