mrkn commented on pull request #7044:
URL: https://github.com/apache/arrow/pull/7044#issuecomment-654581941
> Hey @mrkn - sorry I didn't have capacity to reply for a while.
No problem. Thank you for your cooperation!
> If I remember correctly only SciPy has this architecture of COO index
having two vectors instead of one 2D matrix.
Not only scipy, but also
[SuiteSparse](https://github.com/DrTimothyAldenDavis/SuiteSparse) employs the
split format.
> Question: could we handle this as a special case of COO tensor rather than
a new type? Could we serialize `(row, col)` data as a single row major tensor
of COO type and only deserialize it into the SciPy layout if desired? (I'm
asking because I'm not sure if such approach is feasible)
>
Although we can handle the split-format as an internal variation of
SparseCOOIndex, we still need to introduce the new flatbuffer type.
> If we go for a new type - could I propose a name SparseCOOMatrix (as
opposed to n-dimensional SparseCOOTensor). It could perhaps be shortened to
`COOM`?
The implementation in this pull-request can handle more than 2-dimension.
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