Xi-yuanWang's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
alibaba/GraphScope
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
aditya-grover/node2vec
lucidrains/lion-pytorch
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
eliorc/node2vec
Implementation of the node2vec algorithm.
lib-pku/lib-pku.github.io
北京大学课程资料整理
Tiiiger/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
ysig/GraKeL
A scikit-learn compatible library for graph kernels
benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
niedakh/pqdm
Comfortable parallel TQDM using concurrent.futures
mims-harvard/SubGNN
Subgraph Neural Networks (NeurIPS 2020)
TUM-DAML/gemnet_pytorch
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
LechengKong/OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
microsoft/python-sample-vs-cpp-extension
This sample is the end product for the walkthrough on https://docs.microsoft.com/en-us/visualstudio/python/working-with-c-cpp-python-in-visual-studio
GraphPKU/JacobiConv
How Powerful are Spectral Graph Neural Networks
GraphPKU/PygHO
A library for subgraph GNN based on pyg
GraphPKU/NeuralCommonNeighbor
Xi-yuanWang/GLASS
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
guowentian/dynamicppr
The implementation of the paper "Parallel Personalized PageRank on Dynamic Graphs"
mlresearch/v198
Proceedings of Learning on Graphs 2022
Huyang-pku/2-GNN-for-Link-Prediction
Use 2-WL-GNN to construct models for link prediction
GraphPKU/GNN-LF
yxzwang/SubmissionverOfYinYanGNN
Code for YinYanGNN