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adapgl-pytorch

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

asttn_pytorch

bravl

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

datastructure-beautyofalgorithm

《数据结构与算法之美》的学习笔记和python代码实现

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dgcn

The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cybernetics".

dgcnn

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

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ds-ddpm

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

dynamic_brain_graph_structure_learning

Minimal PyTorch implementation of Dynamic Brain Graph Structure Learning (Campbell 2022)

eeg-dl

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

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-gnn-ssl

eeg_encoding

Using DNNs to build encoding models of EEG visual responses.

gmss

This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition

gnn4lp

gnn for link prediction，图神经网络用于链接预测。

gnn_note

图神经网络整理

graph-learning

Graph model implementation

graph-structure-estimation-neural-networks

Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"

graphs4mer

graphsleepnet

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

lgg

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

lihang-code

《统计学习方法》的代码实现

machine-learning-course

浙江大学胡浩基《机器学习》代码

megacrn

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

mvs-gcn

The official implementation of MVS-GCN

paper-reading

深度学习经典、新论文逐段精读

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

rgsl