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PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Created 2019-08-07
98 commits to master branch, last one 3 years ago
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:triangular_ruler: Orthogonal polynomials in all shapes and sizes.
Created 2017-08-20
5 commits to main branch, last one about a year ago
A web app that generates code for efficiently approximating mathematical functions of one variable.
Created 2024-09-02
54 commits to main branch, last one 4 months ago
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline ...
Created 2021-08-16
19 commits to master branch, last one 3 years ago
This is my personal library of code that is common to my different projects (Photosounder, SplineEQ, Spiral and others)
Created 2014-05-02
572 commits to master branch, last one 2 days ago
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order...
Created 2020-02-20
518 commits to master branch, last one 7 months ago
Python implementation of Remez algorithm, provides the best uniform polynomial approximation to functions based on the minimization of the maximum absolute error and the equioscillation theorem.
Created 2024-09-17
49 commits to master branch, last one 2 months ago