jeongwhanchoi

STG-NRDE

"Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST

BARS

BARS: Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Cold-Diffusion-Models

Official implementation of Cold-Diffusion for different transformations in pytorch.

DALL-E

PyTorch package for the discrete VAE used for DALL·E.

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

DSTAGNN

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

GAD

gnn-spectrum

graph-neural-pde

Continuous Diffusion Graph Neural Network

grin

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

GRPE

Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"

H2GCN

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

HM-GNN

Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"

JacobiConv

How Powerful are Spectral Graph Neural Networks

MP-Neural-PDE-Solvers

Repo to the paper "Message Passing Neural PDE Solvers"

MSDR

Implementation for MSDR

NADE

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.

Non-Homophily-Large-Scale

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Oversquashing

Oversquashing in GNNs through the lens of information contraction and graph expansion

Paper_Writing_Tips

PT4Code

SignNet-BasisNet

tracebase

Multivariate time series forecasting on high-dimensional and sparse Uber movement speed data.

UFG

understanding-oversquashing

ViT-Anti-Oversmoothing

[ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang