ReilYoung
Architectural Human Factors Science in the Context of Artificial Intelligence
Tsinghua UniversityBeijing, China
ReilYoung's Stars
msmbuilder/vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
jcvasquezc/AEspeech
Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders
ChickenBenny/VAE-in-predicting-stock
VAE in feature extraction help predicting stock
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Flawless1202/VGAE_pyG
An VGAE implementation using pytorch geometric.
mingshanqiu/GNN_MoleculeGenerator
Graph autoencoder for molecular generation
deezer/linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
microsoft/constrained-graph-variational-autoencoder
Sample code for Constrained Graph Variational Autoencoders
yeeeqichen/FTM
[AAAI 2023] Official implementation of FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning
anonymous-author-here/teleEmbed
Code and data for the paper titled "Dynamic Graph-Level Embedding Using Random Walk With Temporal Teleportation" submitted to the web conference 2022. Please use the unzip password included in the main paper. The code and data will be made publicly available after publication.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
milo7hao/GraphClassification
Exercises at Graph Classification using GCNs and GATs
L0-zhang/GAT
Graph classification using GAT on MUTAG dataset
quatpv/GNN
Graph neural network for action classification
Tocrak/pose-classification
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
bilalmirza8519/LSTM-VAE
Unsupervised Deep Learning for Temporal Multi-Omics
marisancans/frame-predict-VAE-LSTM
Predicting image frames using autoencoder and LSTM
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
DaehanKim/vgae_pytorch
This repository implements variational graph auto encoder by Thomas Kipf.
sunfanyunn/InfoGraph
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
lencx/ChatGPT
đź”® ChatGPT Desktop Application (Mac, Windows and Linux)
DeepGraphLearning/GraphLoG
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
thunlp/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
ZhenyuYangMQ/Awesome-Graph-Level-Learning
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
jrwnter/pigvae
Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Frank Noe and Djork-Arne Clevert.
dexplo/bar_chart_race
Create animated bar chart races in Python with matplotlib