Alternatives and similar repositories for typed-graph-network

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

• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• uclnlp / gntp
  ☆58Updated 5 years ago
• linqs / psl-examples
  Various examples to showcase the functionality of PSL.
  ☆62Updated last year
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆46Updated 5 years ago
• arbenson / cflp
  Code for core-fringe link prediction
  ☆11Updated 6 years ago
• Mehran-k / RelNN
  RelNN is a novel first-order deep neural model for relational learning.
  ☆28Updated 7 years ago
• mahito-sugiyama / Legendre-decomposition
  Legendre decomposition for tensors
  ☆13Updated 6 years ago
• neuralheuristicsforsat / neuralheuristicsforsat
  ☆17Updated 3 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• JiaxuanYou / G2SAT
  G2SAT: Learning to Generate SAT Formulas
  ☆49Updated 5 years ago
• ForoughA / neuralMath
  Combining Symbolic and Function Evaluation Expressions In Neural Programs
  ☆34Updated 5 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 7 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• cgraywang / TextHINData
  Text-to-network based datasets.
  ☆8Updated 5 years ago
• hhcho / hyplinear
  MATLAB implementation of linear support vector classification in hyperbolic space
  ☆20Updated 7 years ago
• locuslab / sdp_clustering
  ☆12Updated 4 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• hongyuanmei / neural-datalog-through-time
  Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).
  ☆36Updated 11 months ago
• babylonhealth / multiverse
  MultiVerse: Probabilistic Programming Language for Causal Reasoning
  ☆9Updated 2 years ago
• uclnlp / inferbeddings
  Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation
  ☆60Updated 7 years ago
• adityaSomak / PSLQA
  An implementation of Probabilistic Soft Logic Engine using Python/Gurobi
  ☆53Updated 6 years ago
• CoderPat / OpenGNN
  Open source machine learning for graph-structured data
  ☆30Updated 6 years ago
• aylai / EntailmentProbabilityEmbedding
  Models and code from Learning to Predict Denotational Probabilities For Modeling Entailment
  ☆14Updated 7 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 5 years ago
• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆89Updated 6 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago