CellTypeGraph Benchmark
Introduced by Cerrone et al. in CellTypeGraph: A New Geometric Computer Vision Benchmark
Classifying all cells in an organ is a relevant and difficult problem from plant developmental biology. We here abstract the problem into a new benchmark for node classification in a geo-referenced graph. Solving it requires learning the spatial layout of the organ including symmetries. To allow the convenient testing of new geometrical learning methods, the benchmark of Arabidopsis thaliana ovules is made available as a PyTorch data loader, along with a large number of precomputed features.
Benchmarks
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CellTypeGraph Benchmark
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plantcelltype-EdgeDeeperGCN
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Papers
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