Alternatives and similar repositories for pygraphon

Users that are interested in pygraphon are comparing it to the libraries listed below

• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated last year
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆80Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆62Updated last year
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆43Updated 4 years ago
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 5 years ago
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• arbenson / ScHoLP-Tutorial
  Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
  ☆43Updated 6 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆60Updated 4 years ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated last year
• nveldt / HypergraphHomophily
  ☆12Updated 3 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 3 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 8 months ago
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆46Updated 2 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆104Updated 5 years ago
• dimkal89 / rvae
  ☆37Updated 5 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆119Updated 4 years ago
• 000Justin000 / ssl_edge
  Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"
  ☆15Updated 6 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆32Updated 4 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• mcontisc / CRep
  Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.
  ☆16Updated last year