When using networkx.readwrite.json_graph.tree_data to returns data in tree format that is suitable for JSON serialization and then convert this data back using networkx.readwrite.json_graph.tree_graph, you lose the Graph attributes.

Current Behaviour

For example the following is the current behaviour

>>

steps to reproduce

Write a loop, from 1 to 80000, each time add a random int to the max heap.

In theory it takes very little time(NlogN, N=80000, <1sec ), but the program does take a long time.

I'v also tested the BinaryHeap in https://github.com/SolutionsDesign/Algorithmia, it performs well, so it is probably due to the bad algorithm.

https://en.wikipedia.org/wiki/INI_file

The models and algorithms in https://github.com/boudinfl/pke#implemented-models are similar to Textrank but not sped up by SpaCy, so it might be a good idea to include them in PyTextRank

PS: There are also other non TextRank-esque algorithms to consider when making this assessment:

• RAKE https://github.com/aneesha/RAKE and https://github.com/csurfer/rake-nltk and https://github.com/vgrabovets

Feature description (Mandatory)

Please add the capability to specify the type of array instead of defaulting to string. i.e.
apoc.array.int()

How this feature can improve the project?

By default, it is created as a string. Some customers have asked for the ability to hint at the data type.

Start from the develop branch and add to examples/simple:

• igraph_assortativity.c, which calls the function igraph_assortativity (in /src/misc/mixing.c) with some graph and prints out the result,
• igraph_assortativity.out which contains the correct printed result.

Then, add the example to tests/CMakeLists.txt and to the docs of the function in /src/misc/mixing.c

For an example of a si