Alternatives and similar repositories for neural-datalog-through-time

Users that are interested in neural-datalog-through-time are comparing it to the libraries listed below

• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆91Updated 6 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆61Updated 8 months ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆86Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• machine-reasoning-ufrgs / typed-graph-network
  A model builder helper for creating graph neural networks akin to the ones described in https://arxiv.org/abs/1806.01261 and https://ie…
  ☆12Updated 6 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• Networks-Learning / tpprl
  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018
  ☆81Updated 6 years ago
• hongyuanmei / tpp-short-course
  A short course on temporal point process and modeling irregular time series
  ☆21Updated 4 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago
• gabsens / Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE
  A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…
  ☆22Updated 5 years ago
• dicai / pygraphon
  Python library for working with graphons
  ☆23Updated 8 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• uclnlp / gntp
  ☆58Updated 5 years ago
• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆75Updated 3 years ago
• pylon-lib / pylon
  ☆122Updated last year
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆51Updated 2 years ago
• giannisnik / repset
  Rep the Set: Neural Networks for Learning Set Representations
  ☆29Updated 5 years ago
• code-terminator / classwise_rationale
  Tensorflow implementation for the Class-wise Selective Rationalization
  ☆14Updated 2 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆61Updated 6 years ago
• nuric / deeplogic
  DeepLogic: Towards End-to-End Differentiable Logical Reasoning
  ☆25Updated 5 years ago
• muhanzhang / D-VAE
  D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
  ☆141Updated 4 years ago
• dunan / NeuralPointProcess
  ☆89Updated 2 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• jxnl / dirichlet-vae
  investigating use of variational auto encoders with multinomial latent variables for unsupervised data.
  ☆24Updated 8 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆21Updated 2 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago