Thanks Tiago, and sorry I did not find it by myself.

I would love to have your feedback on this related question, if it is of 
interest to you:
 
https://cs.stackexchange.com/questions/146325/fast-and-compact-data-structure-for-dynamic-graphs

Best,
ML

On Thu, Dec 09, 2021 at 03:15:58PM +0100, Tiago de Paula Peixoto wrote:
> Hi,
> 
> The data structure is an adjacency list. The definition is here:
> 
> 
> https://git.skewed.de/count0/graph-tool/-/blob/master/src/graph/graph_adjacency.hh
> 
> Adding nodes or edges is O(1).
> 
> Removing a node is O(N + E) in the worst case if the node index ordering is
> preserved, otherwise it is O(k + k_last), where k is the degree of the
> vertex being removed, and k_last is the degree of the nodes with the highest
> index.
> 
> Removing an edge is O(k_s + k_t), where k_s and k_t are the degrees of the
> source and target nodes, if Graph.set_fast_edge_removal() has not been set,
> otherwise it is O(1) (at the expense of more memory bookkeeping).
> 
> This is all explained in the documentation...
> 
> Best,
> Tiago
> 
> Am 09.12.21 um 15:06 schrieb Matthieu Latapy:
> > Well, not far: this is the file format. But it seems very close to the 
> > central memory representation, right?
> > 
> > Does this mean that the representation is an array indexed by nodes, and 
> > then for each node an array of its neighbors? How does this deal with graph 
> > updates?
> > 
> > (It was so long since I read hexdump for the last time, thanks for this 
> > too! *__*)
> > 
> > Best,
> > ML
> > 
> > On Thu, Dec 09, 2021 at 01:48:51PM +0000, Lietz, Haiko wrote:
> > > Hi Matthieu,
> > > 
> > > Is this what you're looking for?
> > > 
> > > https://graph-tool.skewed.de/static/doc/gt_format.html
> > > 
> > > Best
> > > 
> > > Haiko
> > > 
> > > _______________________________________________
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> > > To unsubscribe send an email to [email protected]
> > 
> 
> 
> -- 
> Tiago de Paula Peixoto <[email protected]>
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-- 

---------------
Matthieu Latapy
http://latapy.complexnetworks.fr
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