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Re: Proposed Arrow Graph representations


hi Josh,

Yes, the standard process for importing externally-developed code is
the Incubator IP clearance: http://incubator.apache.org/ip-clearance/.
As an example, we recently received a Go codebase donation from
InfluxData where there was a combination of ICLAs from the
contributors and a software grant agreement:
http://incubator.apache.org/ip-clearance/arrow-go-library.html. We did
this for Plasma, too.

Needless to say, whenever possible if new work can be done in Apache
Arrow and with community process, it spares the PMC a lot of work and
IP / licensing review to avoid the IP clearance process.

- Wes

On Mon, May 21, 2018 at 1:41 PM, Joshua Patterson <joshuap@xxxxxxxxxx> wrote:
> Hi Wes,
> I'm sure we're going to run into this with libgdf/pygdf as well.  Is there a systematic way we could do a transfer of IP?
>
> On 5/20/18, 7:05 PM, "Wes McKinney" <wesmckinn@xxxxxxxxx> wrote:
>
>     hi Paul,
>
>     This is a great discussion to get started. I will review the patch in
>     some more detail and send feedback
>
>     > I've pushed Joe's initial GraphSchema.fbs to this branch on my Arrow fork
>
>     I'm concerned the way this patch is set up right now is a little bit
>     problematic from an IP lineage standpoint (since this is his/Nvidia's
>     code and not yours). Would it be possible for Joe to create a pull
>     request directly for this instead? We can create a branch somewhere
>     where we can collaborate, too, if that helps.
>
>     Thanks,
>     Wes
>
>     On Sat, May 19, 2018 at 11:35 PM, Paul Taylor <ptaylor@xxxxxxxxxx> wrote:
>     > At GTC San Jose last month, NVidia's Joe Eaton (cc'd) presented on the
>     > nvGraph <https://developer.nvidia.com/nvgraph> team's goals for
>     > accelerating in-memory graph processing and analytics. A major component of
>     > that is advancing and standardizing a common, efficient representation for
>     > graphs that can support a broad ranges of use-cases, from small to large.
>     >
>     > To that end, I'd like to kick off the discussion about native graph
>     > representations in Arrow.
>     >
>     > Joe's team has prepared a preliminary FlatBuffers schema for efficient
>     > columnar representations of the four most common graph formats. It includes
>     > embedded edge and vertex property tables, and is designed to be compatible
>     > with the existing Arrow column types. My initial thoughts are that we could
>     > add an optional 5th Graph Message type, similar to how Tensor Messages are
>     > presently implemented.
>     >
>     > I've pushed Joe's initial GraphSchema.fbs to this branch on my Arrow fork
>     > <https://github.com/trxcllnt/arrow/blob/78f6b6c6a5b9e4e7bf96f5bbc4dfed7528b1cca7/format/GraphSchema_Triples_Quads.fbs>.
>     > From what I understand, the tables have been expanded into separate
>     > definitions for the sake of comprehension, and the final forms will be
>     > collapsed into each distinct Graph type, parameterized by sizes defined at
>     > the top.
>     >
>     > I also understand the nvGraph team supports these layouts natively,
>     > enabling the community to take advantage of high-performance GPU kernels
>     > very early on, and possibly align with libraries like Hornet
>     > <https://github.com/hornet-gt/hornetsnest> (previously cuStinger).
>     >
>     > Cheers,
>     > Paul
>
>
>
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