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 11 months ago
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆61Updated 8 months ago
• arbenson / ScHoLP-Tutorial
  Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
  ☆43Updated 6 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• 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
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• QUVA-Lab / COMBO
  ☆51Updated 11 months ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 4 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆50Updated last year
• UCLA-StarAI / Forclift
  First-order knowledge compilation for lifted probabilistic inference
  ☆11Updated 8 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆115Updated 3 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆50Updated 5 years ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 4 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆59Updated 4 years ago
• leotrs / sunbeam
  SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance
  ☆15Updated 5 years ago
• AishwaryaSivaraman / COMET
  Counterexample-Guided Learning of Monotonic Networks
  ☆18Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• dwright37 / lorentz_embeddings_recreation
  A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)
  ☆20Updated 6 years ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated 9 months ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆37Updated 3 months ago
• alan-turing-institute / SigNet
  A package for clustering of Signed Networks
  ☆37Updated 4 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆39Updated 2 years ago