I want an API that is optimized around tree traversal and replacement.
Clojure.walk and zippers can be pretty great, as of course the associative
aspect of maps and vectors.
Going from a tree of maps and vectors to a graph representation makes
things harder and less direct.

Theres some challenges about providing such an abstraction, was just
wondering if anyones thought about this.



On Thu, Apr 30, 2015 at 1:37 PM, Mark Engelberg <mark.engelb...@gmail.com>
wrote:

> Ubergraph can certainly represent DAGs, since DAGs are just a special case
> of directed graphs.  There is also the function ubergraph.alg/dag? to test
> whether a graph is a DAG.  There are included algorithms, such as
> topological sorting, which only work on a DAG, and other functions, such as
> shortest-path which will work just as well on a DAG.
>
> So what sorts of functionality would you be looking for in a DAG-only
> library?
>
>
> On Thu, Apr 30, 2015 at 6:21 AM, kovas boguta <kovas.bog...@gmail.com>
> wrote:
>
>> Very cool!
>>
>> On a related note: I would be interested in a similar library focused on
>> DAG's. Any thoughts there?
>>
>>
>>
>>
>>
>>
>> On Wed, Apr 29, 2015 at 10:00 PM, Mark Engelberg <
>> mark.engelb...@gmail.com> wrote:
>>
>>> https://github.com/Engelberg/ubergraph
>>>
>>> Ubergraph is a versatile, general-purpose graph data structure for
>>> Clojure. It is designed to complement and extend Loom, a popular Clojure
>>> collection of graph protocols and algorithms.
>>>
>>> Ubergraph implements all of Loom's protocols and draws them together in
>>> one namespace, making it a one-stop, batteries-included graph
>>> implementation.  But more importantly, Ubergraph goes beyond Loom's
>>> protocols, allowing a mixture of directed and undirected edges within a
>>> single graph, multiple "parallel" edges between a given pair of nodes (aka
>>> multigraphs), multiple weight attributes per edge, and changeable weights.
>>>
>>> The ubergraph.alg namespace contains an assortment of algorithms
>>> compatible with graphs, digraphs, multigraphs, and multidigraphs (and
>>> backwards-compatible with Loom graphs).  A highlight of the ubergraph.alg
>>> namespace is its feature-rich shortest-paths algorithm, which supports a
>>> number of useful search options: edge filters, node filters, goal
>>> predicates, multiple starting nodes, multiple ending nodes, using any
>>> attribute or function as the cost for an edge, and more.
>>>
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