Gyeongmin Gu's repositories
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
ALGORITHM
with python, java and SQL
ARCHER
Implementation of Adaptive RWR Computation on Hypergraphs
awesome-grad-school
🎓 Advice and resources for thriving and surviving graduate school
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Blogproject
Like Lion 7th third h/w
beginners-tech-interview
CS 면접 및 인성면접 준비자료입니다.
Dissertation-GNN
Dissertation Thesis
final-project
Like Lion 7th final project
GeoDiff
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
HyperGCL
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
HyperNetX
Python package for hypergraph analysis and visualization.
LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
PDYI
공공빅데이터 청년인재 인턴십(public bigdata youth internship) 실습자료
SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
SiGAT
source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
simplex_random_features
Implementation of SimRFs (https://doi.org/10.48550/arXiv.2301.13856) for low variance Monte Carlo estimates of the Gaussian and softmax kernels.
slgnn
Signed Laplacian Graph Neural Networks, aaai2023
stable_diffusion
A text-guided latent diffusion model from scratch.
STGCN
The PyTorch version of STGCN.