# AAAI 2021 - Graph Neural Networks - Models and Applications 레퍼런스

## Table of contents

- Introduction
- Graphs and Graph Structured Data
- Tasks on Graph Structured Data
- Graph neural networks

- Foundations
- Basic Graph Theory
- Graph Fourier Transform

- Models
- Spectral-based GNN layers
- Spatial-based GNN layers
- Pooling Schemes for Graph-level Representation Learning
- Attacks and Robustness of Graph Neural Networks
- Deeper Graph Neural Networks
- Scalable Learning For Graph Neural Networks
- Self-supervised Learing for Graph Neural Networks

- Applications
- Recommendation

## 링크

https://web.njit.edu/~ym329/tutorials/aaai2021/