GraphLearn
master
Introduction
Introduction
GraphLearn-Training
Introduction
Install and Setup
Quick Start
Graph
GNN Models
Developer Doc
Dynamic-Graph-Service
Introduction
Service Deployment
Loading From Your Data Source
Tutorial
JAVA Client apis
GraphLearn
Welcome to GraphLearn’s documentation!
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Welcome to GraphLearn’s documentation!
Introduction
Introduction
GraphLearn-Training
Introduction
Architecture
Install and Setup
Install from wheel.
Build from source.
Install dependent libraries
Build
Install
(Optional) Install TensorFlow
(Optional) Install PyTorch,PyG
Docker images
Quick Start
Run through the built-in model
GraphLearn-Training
Interface Usage
Develop a GNN model
Data preparation
Graph construction
Graph sampling
Model code
Graph
Data Sources
Data Formats
Data Source
User API
Graph object
Declaring Graph objects
Describing topology
Initialization
Data objects
Dense data objects
Sparse data object
Graph Operator
Graph Operators
Graph query
Graph traversal
Graph Sampling
Negative sampling
Negative sampling by specified attribute condition
KNN
Graph Sampling Language (GSL)
Introduction
GSL syntax
SOURCE
STEP graph sampling/negative sampling
Multiplex downstream
Alias
SINK
GSL execution results
Example
GNN Models
Paradigms and Processes
Model Paradigm
Pipeline
Tensorflow
Data Layer
Feature Processing
Model layers
Common Losses
Global Configuration
Examples
Kubernets examples
Development Guide
Other graph learning models
PyTorch
Development process
Developer Doc
Defining Your Own Operator
Programming Interface
Distributed Runtime Design
Implement a New Operator
How to Use an Operator
Integrating Other Data Sources
File System Interface
Register with Scheme
System global settings
Dynamic-Graph-Service
Introduction
Architecture
Service Deployment
Prerequisites
Deploy kafka Queue Service
Installing the Chart
Uninstalling the Chart
Parameters
Loading From Your Data Source
Rules to Follow
Dataloader SDK
Data Loading Barrier
Tutorial
1. Prepare data
2. Train model offline
3. Export TF SavedModel
4. Deploy TF Model
5. Deploy Dynamic Graph Service.
6. Sample and Predict
JAVA Client apis
Indices and tables
Index
Module Index
Search Page
Read the Docs
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