Alternatives and similar repositories for typed-graph-network

Users that are interested in typed-graph-network are comparing it to the libraries listed below

• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆90Updated 6 years ago
• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• ForoughA / neuralMath
  Combining Symbolic and Function Evaluation Expressions In Neural Programs
  ☆34Updated 5 years ago
• uclnlp / gntp
  ☆58Updated 5 years ago
• Mehran-k / RelNN
  RelNN is a novel first-order deep neural model for relational learning.
  ☆28Updated 7 years ago
• TeamCohen / TensorLog
  ☆111Updated 6 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 7 years ago
• diprism / fggs
  Factor Graph Grammars in Python
  ☆13Updated 10 months ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• adityaSomak / PSLQA
  An implementation of Probabilistic Soft Logic Engine using Python/Gurobi
  ☆53Updated 6 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 6 years ago
• JiaxuanYou / G2SAT
  G2SAT: Learning to Generate SAT Formulas
  ☆49Updated 5 years ago
• rasmusbergpalm / recurrent-relational-networks
  Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
  ☆202Updated 2 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆41Updated 6 years ago
• hongyuanmei / neural-datalog-through-time
  Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).
  ☆36Updated last year
• dmurfet / 2simplicialtransformer
  Code for the 2-simplicial Transformer paper
  ☆21Updated 5 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆46Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• microsoft / PDP-Solver
  PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
  ☆41Updated 2 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• PurdueMINDS / JanossyPooling
  ☆25Updated 6 years ago
• neuralheuristicsforsat / neuralheuristicsforsat
  ☆17Updated 4 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆179Updated 5 years ago