Zymrael / gdeLinks
Neural Graph Differential Equations (Neural GDEs)
☆204Updated 4 years ago
Alternatives and similar repositories for gde
Users that are interested in gde are comparing it to the libraries listed below
Sorting:
- Graph Neural PDEs☆335Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆62Updated 4 years ago
- ☆47Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- 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
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆104Updated 3 years ago
- ☆57Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆111Updated 2 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 3 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆141Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated last year
- Message Passing Neural Networks for Simplicial and Cell Complexes☆163Updated 2 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆561Updated 4 years ago