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Deepwalk/Node2vec 随机游走图算法的实现

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非常感谢贵司提供这个开源项目！ 我对于代码实现有两点疑问，还请不吝赐教： 1. 欧拉自带的几个算法中，deepwalk和node2vec的随机游走的图算法的实现是不是直接调用的TensorFlow的随机游走，而没有用到欧拉自己的c++的库？ 2. 有没有一个完整的图算法的实现来展示欧拉c++的库的使用的整个流程呢？wiki里面的代码只有简单的遍历之类的，但是感觉欧拉的c++的执行流程和模型都和传统的图计算系统（例如powergraph）不太一样，不是那种定义好算子后就一遍执行到底的，而是需要用户不断调用欧拉的接口来进行交互，不知道我的理解是否正确？ 预祝新年快乐！

Evaluation dataset

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Dear developers, In your home page there is an evaluation compared with sumo as shown below  We are trying to reproduce the evaluation results. Could you please share the...

Enable gconverter to generate graph with random meta-info for testing meta-path random walk application.

GUI support for libsumo

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Currently we are using libsumo to substitute TraCI to avoid the huge TCP/IP communication overhead. The drawback of this substitution is that libsumo doesn't support GUI. So I am wondering...

[RFC] Contribute Local Storage to Distributed Pool

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### Changes proposed This RFC proposes the design of a new feature: support contributing local SSD storage to the distributed store pool, which introduces a unified storage backend interface with...

### Describe your performance question To make it easier to implement future replica management features, such as high availability and SSD offloading, we simplify the replica design so that one...