Comments (5)
and difference with DGL
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and Tencent's Plato
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There are some excellent graph learning related framworks, but each system has its own focus. Graph-Learn is mainly for industrial large-scale heterogeneous graphs. It implements a distributed graph engine and provides a graph learning model programming framework to simplify the development of GNNs. When you want to try GNNs, welcome to use Graph-Learn:)
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@baoleai Is there any way to integrate the classical graph algorithm into GL, such as Pagerank, LPA, WCC .etc.
from graph-learn.
@baoleai Is there any way to integrate the classical graph algorithm into GL, such as Pagerank, LPA, WCC .etc.
NO, it doesn't design for graph computing
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Related Issues (20)
- 关于gsl_client的test包org.aliyun.PredictClientTest的问题 HOT 4
- graph-learn教程上有说小时级别上做模型的增量训练,在graph-learn上是怎么实现的 HOT 4
- 新版代码中删除了旧版的example HOT 1
- 在线推理服务等新特性什么时候推出? HOT 1
- 建议增加java版本dataloader sdk和样例apps? HOT 1
- GLE添加java版dataloader sdk HOT 4
- GCN模型Pytorch样例代码bug
- graph-learn是否后期会和graphscope的图数据整合? HOT 2
- What is the recommended versions of protobuf and g-rpc?
- Current Version whether support Caching Neighbors of Important Vertices HOT 5
- 是否支持pyspark数据格式的输入? HOT 1
- About quick start issue HOT 1
- 请问在执行tutorial的过程中helm install dgs-u2i dgs/dgs报错是为什么
- 执行tutorial的时候k8s中有些pod启动失败 HOT 10
- Provide Instructions for macOS installation?
- [BUG] GraphLearn doesn't work with Python 3.10 & Python 3.11
- GraphLearn动态图在线推理仅支持TopK采样吗? HOT 3
- 与其他GNN框架的性能对比 HOT 1
- 目前Graph-learn是用vineyard的哪个结构来存储图拓扑 HOT 1
- dgs部署失败 HOT 1
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from graph-learn.