SeongJinAhn

VGNAE

(CIKM'21) Variational Graph Normalized Auto-Encoders

Recommendation

BPR

BPR & APR

BioNavi-NP

Biosynthesis Navigator for Natural Products

bitcoin

CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

dbserver

연구실 홈페이지 제작

difformer-pytorch

Diffusion based transformer, in PyTorch (Experimental).

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

gluon-ts

Probabilistic time series modeling in Python

Graph-MLP

Graph-MLPMixer

Repository for Graph MLP-Mixer

graph-neural-pde

Graph Neural PDEs

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

HGCN

KGE

Some papers on Knowledge Graph Embedding(KGE)

korea-covid-19-remaining-vaccine-macro

잔여백신 조회 및 예약 매크로

neptune

Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion

NET3

neural-flows-experiments

Experiments for Neural Flows paper

NOSMOG

Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

prismagram

instagram clone (by Express + Prisma + React + Node)

PyTorch-GraphNVP

Implementation of GraphNVP(https://arxiv.org/abs/1905.11600) using PyTorch.

Raindrop

Graph Neural Networks for Irregular Time Series

SAN

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

SelfGNN

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

STG-NCDE

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

TimeSeAD