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Encode-decoder on Geometric Graph Data? #45

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yogeshhk opened this issue Jun 14, 2021 · 0 comments

yogeshhk commented Jun 14, 2021

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?

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