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Introduction

  • Paddle Graph Learning (PGL)

Quick Start

  • Quick Start Instructions
  • Quick Start with Heterogenous Graph

Examples

  • GCN: Graph Convolutional Networks
  • GAT: Graph Attention Networks
  • Using StaticGraphWrapper for Speed Optimization
    • PGL Examples for GCN with StaticGraphWrapper
    • PGL Examples for GAT with StaticGraphWrapper
  • node2vec: Scalable Feature Learning for Networks
  • GraphSAGE: Inductive Representation Learning on Large Graphs
  • DGI: Deep Graph Infomax
  • Distributed Deepwalk in PGL
  • Distribute GraphSAGE in PGL
  • GES: Graph Embedding with Side Information
  • LINE: Large-scale Information Network Embedding
  • SGC: Simplifying Graph Convolutional Networks
  • struc2vec: Learning Node Representations from Structural Identity
  • GATNE: General Attributed Multiplex HeTerogeneous Network Embedding
  • metapath2vec: Scalable Representation Learning for Heterogeneous Networks
  • Unsupervised GraphSAGE in PGL

API Reference

  • API Reference

The Team

  • The Team
pgl
  • Docs »
  • Using StaticGraphWrapper for Speed Optimization
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Using StaticGraphWrapper for Speed OptimizationΒΆ

  • PGL Examples for GCN with StaticGraphWrapper
  • PGL Examples for GAT with StaticGraphWrapper
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