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I've been playing a little bit around, and I have seen that not all walk algorithms are implemented for HDT datasets. Is there any planning to include them? I might save time to help in the task.
Best,
The text was updated successfully, but these errors were encountered:
Hi, @cbobed sorry for the late reply.
The HDT implementations should be included but I do not have much time currently.
Feel free to create a pull request if you already implemented something, any help is appreciated here 😊
Do you really need HDT for your work? There is currently only a basic walk implementation because HDT is quite slow. If you have much memory available, I do not recommend to use HDT.
I don't exactly need it, but I helped with some implementations to calculate PageRank and some variations of centrality measures where having the graph in HDT helped a lot to scalability. Regarding the slowness you mention, when I had all the auxiliar indices created, I found it really fast for simple triples lookup regardless the direction of the query.
If I find some time in the following weeks, I'll try to contribute with some code (currently I have to meet a deadline) in this line. The good point of HDT was that it was threadsafe, and I could easily parallelize a lot of accesses; besides, in order to increase the scope of the approach it could be interesting (laptops with less memory, but with an SSD, for example).
Best,
janothan
changed the title
Implementation Suggestion
Implementation Suggestion: HDT Walk Generation Algorithms
Aug 26, 2020
Hi @janothan ,
I've been playing a little bit around, and I have seen that not all walk algorithms are implemented for HDT datasets. Is there any planning to include them? I might save time to help in the task.
Best,
The text was updated successfully, but these errors were encountered: