Alternatives and similar repositories for gde

Users that are interested in gde are comparing it to the libraries listed below

• twitter-research / graph-neural-pde
  Graph Neural PDEs
  ☆331Updated 2 years ago
• mbilos / neural-flows-experiments
  Experiments for Neural Flows paper
  ☆95Updated 3 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆58Updated 7 months ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆59Updated 4 years ago
• DeepGraphLearning / ContinuousGNN
  ☆46Updated 3 years ago
• FerranAlet / graph_element_networks
  ☆56Updated 2 years ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆161Updated last year
• juntang-zhuang / TorchDiffEqPack
  ☆46Updated last year
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆271Updated 2 years ago
• facebookresearch / neural_stpp
  Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…
  ☆105Updated 3 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆62Updated 3 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆194Updated last year
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆187Updated 3 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…
  ☆79Updated 4 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 5 years ago
• cagatayyildiz / ODE2VAE
  ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
  ☆128Updated 8 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆435Updated last year
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆553Updated 4 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆90Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• Rachnog / Neural-ODE-Experiments
  This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
  ☆199Updated 5 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆348Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆169Updated 3 years ago
• ZijieH / LG-ODE
  ☆33Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆118Updated last year
• facebookresearch / hgnn
  Hyperbolic Graph Neural Networks
  ☆233Updated 5 years ago
• kaist-silab / awesome-graph-pde
  Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
  ☆96Updated 2 years ago