horacepan / MLGkernel
Implementation of the Multiscale Laplacian Graph Kernel
☆18Updated 5 years ago
Alternatives and similar repositories for MLGkernel:
Users that are interested in MLGkernel are comparing it to the libraries listed below
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- mixed membership stochastic block model☆13Updated 8 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- ☆12Updated 3 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Graph kernels☆56Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆30Updated 7 years ago
- A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.☆11Updated 7 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆42Updated 5 years ago
- Four of the main kernels on graphs Python implementation.☆16Updated 8 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 6 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 9 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- ☆35Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)☆25Updated 5 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Legendre decomposition for tensors☆13Updated 6 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Fast Approximate Quadratic Assignment for (Brain) Graph Matching☆16Updated 8 years ago