Alternatives and similar repositories for py-factorgraph:

Users that are interested in py-factorgraph are comparing it to the libraries listed below

• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆86Updated 6 years ago
• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• krashkov / Belief-Propagation
  Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
  ☆161Updated 5 years ago
• rdlester / pyfac
  Python implementation of Sum-Product for Factor Graphs
  ☆44Updated 8 years ago
• mesilliac / pyLBP
  Loopy Belief Propagation for Python
  ☆40Updated 10 years ago
• zzhang1987 / Factor-Graph-Neural-Network
  Factor Graph Neural Network
  ☆71Updated 3 years ago
• nanchenchen / belief-propagation
  An implementation of loopy belief propagation on a Bayesian Network (BN)
  ☆11Updated 10 years ago
• mbforbes / factorgraph-viz
  Factor graph visualization with d3.js
  ☆23Updated 7 years ago
• danieldjohnson / gated-graph-transformer-network
  Code to accompany the paper "Learning Graphical State Transitions"
  ☆169Updated 7 years ago
• psycharo-zz / factor-graph
  matlab/c++ factor graph framework
  ☆32Updated 7 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆73Updated 7 years ago
• atiasnir / propagation
  Belief propagation is a general graph algorithm for ranking nodes based on their location in the graph and some prior knowledge. The ne…
  ☆18Updated 10 years ago
• adityaSomak / PSLQA
  An implementation of Probabilistic Soft Logic Engine using Python/Gurobi
  ☆54Updated 6 years ago
• williamleif / graphqembed
  Learning to query complex networks
  ☆116Updated 9 months ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆179Updated 7 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆200Updated 11 months ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆174Updated last year
• manzilzaheer / DeepSets
  ☆289Updated 2 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• TeamCohen / TensorLog
  ☆108Updated 6 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆44Updated 5 years ago
• mnick / holographic-embeddings
  Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"
  ☆173Updated 6 years ago
• harvardnlp / struct-attn
  Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
  ☆237Updated 7 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆95Updated 3 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆78Updated 8 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆134Updated 5 years ago
• quark0 / ANALOGY
  Analogical inference for knowledge graph completion
  ☆72Updated 7 years ago
• ibalazevic / multirelational-poincare
  Multi-relational Poincaré Graph Embeddings
  ☆158Updated 5 years ago
• AdaCompNUS / pfnet
  Particle Filter Network (PF-net)
  ☆85Updated 6 years ago