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agcrn

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting-2020NIPS

awesome-deep-graph-clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

eicu-gnn-lstm

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

glace

Gaussian Embedding of Large-scale Attributed Graphs-2019Springer

graph-wavenet

Graph WaveNet for Deep Spatial-Temporal Graph Modeling-2019IJCAI

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

gts

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

line

LINE: Large-scale information network embedding

mtgnn

pygcn

Graph Convolutional Networks in PyTorch

raindrop

Raindrop strategy for Irregular time series

uage

uncertainty-bgnn

Propagation of Aleatoric and Epistemic Uncertainty in Graph Neural Networks

updsomei