SoheilFeizi / spectral-graph-alignmentLinks
Spectral Alignment of Graphs
☆11Updated 8 years ago
Alternatives and similar repositories for spectral-graph-alignment
Users that are interested in spectral-graph-alignment are comparing it to the libraries listed below
Sorting:
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 6 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 7 years ago
- A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)☆11Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- ☆32Updated 7 years ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 6 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"☆41Updated 6 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 7 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- ☆40Updated 7 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Updated 6 years ago
- A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.☆11Updated 8 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 7 years ago
- Lightweight Python library for in-memory matrix completion.☆108Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆43Updated 2 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- ☆30Updated 4 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Updated 8 years ago
- Kaggle's Causality Challenge Solution for team FirfiD☆26Updated 12 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Graph Learning from Data☆36Updated 6 years ago