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:
- 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
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 7 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Updated 5 years ago
- A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)☆11Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Lightweight Python library for in-memory matrix completion.☆108Updated 2 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Conditional Independence Testing with Generative Adversarial Networks☆13Updated 5 years ago
- ☆32Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance☆16Updated 5 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Updated 2 years ago
- ☆40Updated 6 years ago
- Software for selective inference☆17Updated 2 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆12Updated 5 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 3 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Updated 8 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 11 years ago
- Graph Learning from Data☆36Updated 5 years ago
- Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"☆41Updated 6 years ago
- Detecting Statistical Interactions from Neural Network Weights