KJ-Sing's Stars
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
DaehanKim/vgae_pytorch
This repository implements variational graph auto encoder by Thomas Kipf.
twjiang/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
zhao-tong/GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
jwzhanggy/Graph-Bert
Source code of Graph-Bert
acbull/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
acbull/pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
seongjunyun/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
IBM/Graph2Seq
Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
MrGemy95/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
yzhao062/data-mining-conferences
Ranking, acceptance rate, deadline, and publication tips
javieraespinosa/dxlab-smart-cities
szlhl1040/Vehicles-Dispatch-Simulator
Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
zihaohe123/graph_embedding
This is a repo for several popular graph embedding techniques.
jwwthu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
yaodi833/NeuTraj
Seed guided neural metric learning approach for calculating trajectory similarities