heraclixus/Awesome-diffusion-model-gnn

A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.

Paper List for Diffusion-based Graph Generation

Topics of Diffusion Model and its specific adaptation to Graph Generation.

Tabel of Contents

• Awesome paper list
  • Tabel of Contents
  • Contributing
  • Advances in Neural SDE
  • Diffusion Model
  • Diffusion Model for Graphs Generation

Advances in Neural SDE

• PyG: Graph Neural Network Library for PyTorch
• DGL: Python Package Built to Ease Deep Learning on Graph
• Graph Nets: Build Graph Nets in Tensorflow
• Euler: A Distributed Graph Deep Learning Framework
• StellarGraph: Machine Learning on Graphs
• Spektral: Graph Neural Networks with Keras and Tensorflow 2
• PGL: An Efficient and Flexible Graph Learning Framework Based on PaddlePaddle
• CogDL: An Extensive Toolkit for Deep Learning on Graphs
• DIG: A Turnkey Library for Diving into Graph Deep Learning Research
• Jraph: A Graph Neural Network Library in Jax
• Graph-Learn: An Industrial Graph Neural Network Framework
• DeepGNN: a Framework for Training Machine Learning Models on Large Scale Graph Data

Venue	Title	Affiliation	Link
arXiv 2022	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis	ETHZ	[paper]

Advances in Diffusion Model

• PyG: Graph Neural Network Library for PyTorch
• DGL: Python Package Built to Ease Deep Learning on Graph
• Graph Nets: Build Graph Nets in Tensorflow
• Euler: A Distributed Graph Deep Learning Framework
• StellarGraph: Machine Learning on Graphs
• Spektral: Graph Neural Networks with Keras and Tensorflow 2
• PGL: An Efficient and Flexible Graph Learning Framework Based on PaddlePaddle
• CogDL: An Extensive Toolkit for Deep Learning on Graphs
• DIG: A Turnkey Library for Diving into Graph Deep Learning Research
• Jraph: A Graph Neural Network Library in Jax
• Graph-Learn: An Industrial Graph Neural Network Framework
• DeepGNN: a Framework for Training Machine Learning Models on Large Scale Graph Data

Venue	Title	Affiliation	Link
arXiv 2022	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis	ETHZ	[paper]

Diffusion Model for Graph Generation

• PyG: Graph Neural Network Library for PyTorch
• DGL: Python Package Built to Ease Deep Learning on Graph
• Graph Nets: Build Graph Nets in Tensorflow
• Euler: A Distributed Graph Deep Learning Framework
• StellarGraph: Machine Learning on Graphs
• Spektral: Graph Neural Networks with Keras and Tensorflow 2
• PGL: An Efficient and Flexible Graph Learning Framework Based on PaddlePaddle
• CogDL: An Extensive Toolkit for Deep Learning on Graphs
• DIG: A Turnkey Library for Diving into Graph Deep Learning Research
• Jraph: A Graph Neural Network Library in Jax
• Graph-Learn: An Industrial Graph Neural Network Framework
• DeepGNN: a Framework for Training Machine Learning Models on Large Scale Graph Data

Venue	Title	Affiliation	Link
arXiv 2022	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis	ETHZ	[paper]