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PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Created
2019-08-07
100 commits to master branch, last one 17 days ago
: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 6 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
576 commits to master branch, last one 23 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 9 months ago
The PyTorch version of ChebNet.
Created
2021-04-26
11 commits to main branch, last one 4 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 4 months ago