State of the art, Deep Graph structuring
State of the art in deep learning in graphs.
Ready for 2020 edition
State of the art in deep learning in graphs.
License: GNU General Public License v3.0
State of the art in deep learning in graphs.
Ready for 2020 edition
We have to change the focus away from the introduction to a research project, to actually qualify the object of the survey. Could be only self-organized criticality in all kind of networks and "transfer learning", for instance.
Depends on #3
Introduction, a narrative state of the art, conclusions. Right now it's a single section.
It was limited previously, it's not now. We should expand it to cover whatever topic we decide eventually.
There are not a lot, but we can't reference them in a publication in English.
Will depend on #3.
Use some standard journal template like Springer or suchlike.
or "the proposal"
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