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Introduction

  • Paddle Graph Learning (PGL)

Quick Start

  • Quick Start Instructions
  • Quick Start with HeterGraph

Examples

  • Graph Isomorphism Network (GIN)
  • GCN: Graph Convolutional Networks
  • GAT: Graph Attention Networks
  • RGCN: Modeling Relational Data with Graph Convolutional Networks
  • Easy Paper Reproduction for Citation Network ( Cora / Pubmed / Citeseer )
  • GraphSAGE: Inductive Representation Learning on Large Graphs

API Reference

  • API Reference

The Team

  • The Team
pgl
  • Docs »
  • Overview: module code

All modules for which code is available

  • pgl.dataset
  • pgl.graph
  • pgl.message
  • pgl.nn.conv
  • pgl.nn.functional.graph_op
  • pgl.nn.pool
  • pgl.sampling.custom
  • pgl.sampling.sage
  • pgl.sampling.walk

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