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2019-zju_summerresearch

The task is to restate a thesis and redo the experiment following the instructions in the paper.

adversarial_learning

Adversarial Learning for Credit Card Fraud Detection

agcrn

Adaptive Graph Convolutional Recurrent Network

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-traffic-prediction

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

brits

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

chexpert

Reproducing CheXpert paper using the PyTorch library.

cs-0401-and-cs-0405

cs446_machine_learning

cs449_computer_vision

cs449_dota_project

csc-261-database-systems

darknet

Convolutional Neural Networks

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

detection-of-traffic-anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

dsc440-data-mining

Final project

flow-imputation

fraud-detection-models-and-trust-level-validation-in-mmt

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gate

Graph Attention Auto-Encoders

gcn

Implementation of Graph Convolutional Networks in TensorFlow

ginn

Graph Imputation Neural Network

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-markov-network

Graph Markov Network for Traffic Forecasting with Missing Data

graphsmote

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021