Encode-decoder on Geometric Graph Data?

[yogeshhk]

I am working on a dimension reduction problem on shapes, where,

• shapes are represented as graph,
• vertices as nodes,
• connecting curves as edges.
• dimension reduction operation is called as Midcurve generation.
• Input is 2D profile, say a closed polygon.
• Output is 1D curve in the middle of the profile

More info:

• Video: https://www.youtube.com/embed/ZY0nuykqgoE?feature=oembed (longish, so for your spare time viewing)
• Short paper: https://vixra.org/abs/1904.0429
• Github repo, source code: https://github.com/yogeshhk/MidcurveNN

ToDos:

• Write a dataloader for geometric shape data, nodes will get coordinates as features and edges will get sample points coordinates
• Construct Encoder Decoder, similar to Semantic Segmentation on images, but now, using Graph Convolutional Layers on geometric data.

Is this possible/feasible currently with tf-gnn?