Looks interesting. I'm wondering... can you give an example of the type of problem this will help solve? I've been working with recurrent neural networks, which seems to have some conceptual overlap with temporal graph theory.
On Wednesday, June 10, 2015 at 12:12:52 PM UTC-4, Weijian Zhang wrote: > > Hello everyone, > > I am happy to announce the release of EvolvingGraph v0.0.4 > <https://github.com/weijianzhang/EvolvingGraphs.jl>. This is a major > update since > the first release. A tutorial can be found at: > > http://evolvinggraphsjl.readthedocs.org/en/latest/examples.html > > Here are updates: > > - Introduce a new graph type: AttributeEvolvingGraph > > - Introduce an evolving graph data collections ( > http://www.maths.manchester.ac.uk/~weijian/EvolvingGraphDatasets/). All > the datasets in the collection can be imported with the function egread. > > - New functions for sorting and slicing evolving graphs > > - Temporal distance metrics > > Please let me know if you have any suggestions or comments. > > Thanks a lot, > > Weijian > > > > On Tuesday, 5 May 2015 07:18:54 UTC+1, Weijian Zhang wrote: >> >> Hello, >> >> EvolvingGraphs (https://github.com/weijianzhang/EvolvingGraphs.jl) is an >> early attempt to design a >> Julia package for evolving graphs (graphs that change over time). >> >> Here is the documentation: >> http://evolvinggraphsjl.readthedocs.org/en/latest/ >> >> Please let me know if you have any suggestions or comments. >> >> Thanks, >> Weijian >> >
