Graph related applications

ray-project / ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

https://ray.io

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Graph related applications #9324

Open joneswong opened 4 years ago

joneswong commented 4 years ago

Building a graph related package based on Ray

Graph data are ubiquitous and thus have attracted more and more attention from both academia and industry. Recently, KDD cup includes an AutoGraph track which encourages competitors to build a solution to automatically preprocess the graph data, do HPO, train graph neural networks. We found that such an application is particularly suitable to be built upon Ray where

the graph data would be maintained in the global storage
many graph algorithm could be parallelized easily
there are well-designed pytorch/tensorflow support for training graph neural networks
there have been Ray Tune for doing HPO

So, is there any package in this line? If not, we are considering re-factoring our solution to the KDD cup as a graph-related package built upon Ray. Could you guys give us some suggestions? Thanks!

simon-mo commented 4 years ago

I'm not aware of any package in this line from the ray team. Definitely feel free to contribute! Is your solution it more about traditional graph algorithm or about graph neural net?

joneswong commented 4 years ago

I'm not aware of any package in this line from the ray team. Definitely feel free to contribute! Is your solution it more about traditional graph algorithm or about graph neural net?

Both. We use some kinds of graph neural networks for node classification and, once there is no node feature, we first apply a random walk variant and then apply a decomposition algorithm to the proximity matrix for learning node features. Thanks for your comment. We will have a try.

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rkooo567 commented 4 years ago

The feature request is still relevant.