gidonro / Network-DeconvolutionLinks
Python implementation of network deconvolution as a general method to distinguish direct dependencies in network
☆17Updated 11 years ago
Alternatives and similar repositories for Network-Deconvolution
Users that are interested in Network-Deconvolution are comparing it to the libraries listed below
Sorting:
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Updated 2 months ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Convenient Interface to Inverse Ising (ConIII)☆21Updated 3 months ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆157Updated 2 years ago
- Initialization is critical for preserving global data structure in both t-SNE and UMAP☆24Updated 5 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated last year
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆38Updated 3 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆150Updated 4 years ago
- ☆32Updated 8 months ago
- ☆28Updated 3 years ago
- ☆58Updated 7 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- A Python package for General Graphical Lasso computation☆40Updated 11 months ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Talks from Neil Lawrence☆54Updated 2 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Updated 5 years ago
- ☆28Updated 3 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆59Updated 4 months ago
- Official implementation of Joint Multidimensional Scaling☆24Updated 2 years ago
- Software tool for metabolic modelling in Systems Biology☆10Updated 5 years ago
- Accelerating Network Layouts Using Graph Neural Networks☆26Updated 2 years ago
- Detecting Statistical Interactions from Neural Network Weights☆49Updated 5 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- Uniform Manifold Approximation and Projection☆13Updated 4 years ago
- Lightweight Python library for in-memory matrix completion.☆107Updated 2 years ago
- Causal and probabilistic reasoning with continuous time dynamical systems☆19Updated 5 months ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 5 years ago