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hi,I am currently studying the problem of spatial transformation of molecular diffusion trajectories. The data used is a matrix with two rows and n columns. However, unlike image data, if the numbers in the matrix are regarded as pixel values of the image, after multiplying the matrix by a rotation matrix, the value of the corresponding position will change (the corresponding position of the real picture is rotated The pixel value is unchanged) so I am not sure whether escnn can be applied to one-dimensional data. Can you give me some suggestions?
The text was updated successfully, but these errors were encountered:
Generally, escnn supports 2D and 3D grids, as well as irregular grids (e.g. point clouds). Usually, that is how people work with molecular data - cast is a a graph with features (I assume that is the feature matrix you are talking about) and run point convolutions.
hi,I am currently studying the problem of spatial transformation of molecular diffusion trajectories. The data used is a matrix with two rows and n columns. However, unlike image data, if the numbers in the matrix are regarded as pixel values of the image, after multiplying the matrix by a rotation matrix, the value of the corresponding position will change (the corresponding position of the real picture is rotated The pixel value is unchanged) so I am not sure whether escnn can be applied to one-dimensional data. Can you give me some suggestions?
The text was updated successfully, but these errors were encountered: