Graph関連

• 参考書籍

  • Network Science by Albert-László Barabási

• Graph Data Modeling

  • Graph Data Modeling: Categorical Variables | by David Allen | Neo4j Developer Blog | Medium

• GNN

  • https://ieeexplore.ieee.org/abstract/document/9046288

  • https://dl.acm.org/doi/full/10.1145/3535101
  • Graph neural networks: A review of methods and applications - ScienceDirect

  • [1810.00826] How Powerful are Graph Neural Networks?

  • [2003.04078] A Survey on The Expressive Power of Graph Neural Networks

  • https://dl.acm.org/doi/abs/10.1145/3447556.3447566

  • https://ieeexplore.ieee.org/abstract/document/9875989

• Graph Data

  • The KONECT Project

  • Stanford Large Network Dataset Collection

  • Pajek datasets

  • http://networkdata.ics.uci.edu/

  • Datasets · gephi/gephi Wiki · GitHub

  • Example datasets - Getting Started

  • Open Graph Benchmark | A collection of benchmark datasets, data-loaders and evaluators for graph machine learning in PyTorch.

  • Network Data Repository | The First Interactive Network Data Repository

  • TUDataset | TUD Benchmark datasets

• Pytorch 

  • All About Popular Graph Network Tools in Python - Analytics Vidhya

  • Home - PyG

• Academic Society & Conference

  • NetSci – The Network Science Society

  • GitHub - briatte/awesome-network-analysis: A curated list of awesome network analysis resources.

• Graph Tools

  • https://graphaware.com/graphaware/2020/02/17/graph-technology-landscape-2020.html

  • All About Popular Graph Network Tools in Python - Analytics Vidhya

  • Graphyde Sync のご紹介 (creationline.com)
• Graph RAG

  • GitHub - DEEP-PolyU/Awesome-GraphRAG: Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

  • NodeRAG