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#

graph-neural-network

Here are 323 public repositories matching this topic...

A library for graph deep learning research

  • UpdatedJul 15, 2024
  • Python

《深入浅出图神经网络:GNN原理解析》配套代码

  • UpdatedFeb 24, 2021
  • Jupyter Notebook

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

  • UpdatedDec 11, 2023
  • Python
CapsGNN

Recipe for a General, Powerful, Scalable Graph Transformer

  • UpdatedJul 4, 2024
  • Python
chemicalx

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

  • UpdatedJun 4, 2025
  • Shell
datasets

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  • UpdatedJul 17, 2024
  • Python

图神经网络整理

  • UpdatedAug 11, 2021

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

  • UpdatedNov 30, 2025

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

  • UpdatedDec 6, 2024
  • Python

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

  • UpdatedNov 5, 2020
  • Python
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