Extend Mesh Plugin for Line Data
See original GitHub issueThe Mesh Plugin seems like a great place to add 3D graph embedding visualizations (Although, now I’m writing this, projector might be a better fit? Let me know what you think- projections for higher dimensional graphs would be pretty cool)
To do this, I see a few changes:
- Add a content type for line
- Provide
lineskwarg in api + the data massaging into the summary - Switch off points, lines, faces when rendering
- Make some lines!
I’m happy to implement this, but I need to find the time- I just wanted to check if this would be a welcome change, or if I should just make my own plugin
edit: Implementing for projector instead looks a bit hairier. Let me know a good way to approach this if this is the preferred method
Issue Analytics
- State:
- Created 2 years ago
- Comments:8 (3 by maintainers)
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Sorry, “DAG” is something that I added. There, I wanted to say a graph with edges, or a simply graph 😃.
The word “graph” means many things to us so I wanted to get that cleared up.
It looks like you simply want to have some visualization for things like GNN and a general graph, not TensorFlow’s GraphDef. It is not yet clear to me is whether the word “embedding” is meaningful–I have read the abstract of the Arxiv paper but it does not seem to require much specialized feature other than one for a simple graph in R^{2,3}-- but, unless I am mistaken, the definition is not too important for time being.
Now, about the plugin. We generally ask contributors to distribute their plugin on PyPI themselves which can be loaded onto TensorBoard via “entry_points” as is described here: https://github.com/tensorflow/tensorboard/blob/master/ADDING_A_PLUGIN.md. Hope the material in the ADDING_A_PLUGIN.md can get you started.
Great thanks! I’ll take a look at some point.
Maybe the term embedding muddied understanding, but graphs don’t inherently occupy a vector space or manifold- so I was just trying to make the distinction that I wanted pretty graphics. Appreciate the help!