[Feature] The gaph in-memory projection and and its corresponding algorithm about incubator-hugegraph HOT 4 OPEN

Thank you for your willingness to use and contribute. The community welcomes everyone to join and provides relevant contextual references

Some refer:

• #2212 (comment)
• current algo struct: (TP & AP)
  1. https://github.com/apache/incubator-hugegraph/tree/master/hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/traversers
  2. https://github.com/apache/incubator-hugegraph/tree/master/hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/job/algorithm

from incubator-hugegraph.

Thank you for your willingness to use and contribute. The community welcomes everyone to join and provides relevant contextual references

Some refer:

• [Doc] Contribution Guidelines & Quick Start for HugeGraph #2212 (comment)

• current algo struct: (TP & AP)

  1. https://github.com/apache/incubator-hugegraph/tree/master/hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/traversers
  2. https://github.com/apache/incubator-hugegraph/tree/master/hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/job/algorithm

似乎computer是基于分布式实现的（这会使更新每个被扩展的节点），而s-t最短路径一般情况下并不会实际上扩展如此多的节点。而分布式对于实现全部节点的单源最短路径更加适合（neo4j的gds中s-t也只有单线程实现，并且有非常好的效果）。我的方法是优化数据结构来扩展速度而并非分布式计算来加速，而computer是基于分布式框架的，因此我想知道我应该如何选择：

1. 我应该在computer中实现单机算法
2. 将我到代码提交到server
3. 利用数据结构优化computer已经提交的分布式算法（https://github.com/apache/incubator-hugegraph-computer/issues/283）

这也是我这几天一直在纠结的问题。

from incubator-hugegraph.

Hi @rewangz , I think you can first commit your code according to your own mind. During the code review, the reviewers will provide more reasonable suggestions and then you can improve it based on that feedback. It will be more convenient for everyone. As for the computer side, you can optimize it after completing this server pr if you are interested in it.

By the way, it is recommended to communicate in English in Apache projects and thank you for your contribution.

from incubator-hugegraph.

Hi @rewangz , how's it going? if u need any help, just contact me via WeChat: shirning

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