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#

graph-representation-learning

Here are 163 public repositories matching this topic...

links to conference publications in graph-based deep learning

  • UpdatedDec 14, 2025
  • Jupyter Notebook
awesome-graph-classification

Repository for benchmarking graph neural networks (JMLR 2023)

  • UpdatedJun 22, 2023
  • Jupyter Notebook

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

  • UpdatedMar 28, 2025
  • Jupyter Notebook

Strategies for Pre-training Graph Neural Networks

  • UpdatedJul 29, 2023
  • Python

PyGCL: A PyTorch Library for Graph Contrastive Learning

  • UpdatedJul 11, 2024
  • Python

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  • UpdatedDec 20, 2023
  • Python

Recipe for a General, Powerful, Scalable Graph Transformer

  • UpdatedJul 4, 2024
  • Python
CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

  • UpdatedJul 25, 2024
  • Python

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

  • UpdatedNov 22, 2019
  • Python

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

  • UpdatedJul 25, 2024
  • Python
city2graphMixHop-and-N-GCN

A curated list for awesome self-supervised learning for graphs.

  • UpdatedOct 25, 2022

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

  • UpdatedMar 15, 2025

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