haoxiaodao

haoxiaodao's Stars

• lehaifeng/T-GCN

  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

  Language:Jupyter Notebook1.4k435

• Jinminbox/PGCN

  PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

  Language:Python335

• 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

  Language:Jupyter Notebook408

• yi-ding-cs/EmT

  This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.

  Language:Python5

• samuel-gibbon/BabyRhythm

  Deep learning with infant EEG

  Language:Python3

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.2k508

• muhanzhang/pytorch_DGCNN

  PyTorch implementation of DGCNN

  Language:Python369122

• diningphil/gnn-comparison

  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

  Language:Python37953

• bknyaz/graph_nn

  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

  Language:Jupyter Notebook32471

• liun-online/WaveGC

  Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'

  Language:Python131

• haoxiaodao/EEGMotorImagery

  EEG motor imagery classification using convolutional neural networks

  1

• rootskar/EEGMotorImagery

  EEG motor imagery classification using convolutional neural networks

  Language:Python319

• 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）

  Language:TeX1778

• cuishiyao96/eegcned

  Source code for Findings of EMNLP2020 paper Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

  Language:Python5813

• zhongpeixiang/RGNN

  The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

  Language:Python16934

• robintibor/high-gamma-dataset

  Language:Python6615

• ivam-he/ChebNetII

  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

  Language:Python297

• mdeff/cnn_graph

  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

  Language:Jupyter Notebook1.3k390

• dsgiitr/graph_nets

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

  Language:Jupyter Notebook1.1k224

• conferencesub/ICLR_2020

  7

• amoliu/CayleyNet

  Graph Convolutional Neural Networks with Complex Rational Spectral Filters

  Language:Jupyter Notebook2614

• zsverko/Code_CPCC

  Language:MATLAB1

• yueliu1999/DCRN

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

  Language:Python21631

• loukasa/graph-coarsening

  Multilevel graph coarsening algorithm with spectral and cut guarantees

  Language:Python7919

• ufvceiec/EEGRAPH

  EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

  Language:Python12842

• 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.

  Language:Python15030

• 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

  2.6k601

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• magnumical/GCN_for_EEG

  Graph Convolutional Networks for 4-class EEG Classification

  Language:Python7220

• inducer/pymetis

  A Python wrapper around Metis, a graph partitioning package

  Language:C15431