EuLearn is a benchmark of 3,300 embedded surfaces with uniformly distributed genus (0 to 10), plus a graph-sampling method and adjacency-aware PointNet and Transformer variants that reach about 0.8 genus-classification accuracy.
Sampling Lissajous and Fourier knots.Experimental Mathematics, 18(4):481–497, 2009
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EuLearn: A 3D database for learning Euler characteristics
EuLearn is a benchmark of 3,300 embedded surfaces with uniformly distributed genus (0 to 10), plus a graph-sampling method and adjacency-aware PointNet and Transformer variants that reach about 0.8 genus-classification accuracy.