🧩GNN Materials

GNN 자료들 모음

GNN에 관심을 가지게 된 계기는 RoboGrammar라는 paper였다. 예전부터 하고 싶었던 Robot design 아이디어를 GNN을 가지고 실현시킨 것이 너무 신기해서 공부해보고 싶었다. 이번 포스팅에서는 GNN과 첫만남인 만큼 공부할 자료들을 정리해보려 한다.

Materials

• Tobigs Graph Study

• CS224W: Machine Learning with Graphs / Videos

• Graph Neural Networks - Penn Engineering

• TF Graph Neural Network Samples

• Graph Neural Networks in TF2

• Graph Representation Learning(Pytorch)

• A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)

• Invariant Graph Networks : invariance, equivariance, k-WL GNN 관련 주제

• End-to-End, Transferable Deep RL for Graph Optimization : RL + GNN

Tutorials & Workshops

• WWW 18 Tutorial : Representation Learning on Networks

• CIKM 19 Tutorial : Recent Developments of Deep Heterogeneous Information Network Analysis

• WSDM 19 Tutorial : Learning and Reasoning on Graph for Recommendation

• KDD 19 Tutorial : Learning From Networks

• AAAI 20 Tutorial : Graph Neural Networks: Models and Applications

• ICML2020 GNN Workshop GRL+

• WWW 20 Hands on Tutorial - Videos

• Graph Neural Networks for Natural Language Processing / PPT

• Tutorial on Spectral and Graph ConvNets

Papers & Survey

• Graph Neural Networks: Taxonomy, Advances and Trends

• A Comprehensive Survey on Graph Neural Networks

• Directional Graph Networks

• GNN KR Paper List

• Graph Meta Learning via Local Sub-graphs

  • Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
  • Few-shot Learning with Graph Neural Networks
  • Learning to Propagate for Graph Meta-Learning

• Self-supervised Training of Graph Convolutional Networks

• XGNN: Towards Model-Level Explanations of Graph Neural Networks

• L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks, 2020 CVPR

Videos

An Introduction to Graph Neural Networks: Models and Applications

Graph Convolutional Networks using only NumPy

Geometric Deep Learning on Graphs and Manifolds

Graph Nets: The Next Generation

• Link

Recent Developments of Graph Network Architectures

• Slide
• 2019-2020에 발표된 GNN 방법론들을 정리
• GNN의 expressiveness, 그중에서도 invariance and equvariance

Deep learning on graphs: successes, challenges, and next steps

Graph Representation Learning for Algorithmic Reasoning

• Slide

How Uber uses Graph Neural Networks to recommend you food

• Post