Fork from the survey paper "A Survey on Data Augmentation in Large Model Era"

Papers about explainability of GNNs

Interpretability and explainability of data and machine learning models

Temporal Network Tools

Must-read papers on graph neural networks (GNN)

Unsupervised Learning for Image Registration

Simpler, Safer, Faster Unified SQL Analytics Engine for Multi-Datasources

A collection of infrastructure and tools for research in neural network interpretability.

Linux Kernel implementation of MultiPath TCP

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

A List of Recommender Systems and Resources

A distributed graph deep learning framework.

Must-read papers on network representation learning (NRL) / network embedding (NE)

(We will not update in the future) A collection of important graph embedding, classification and representation learning papers with implementations.