pgl
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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
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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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Versions
latest
stable
static_stable
pgl-2.0.0a
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