Zymrael / gde
Neural Graph Differential Equations (Neural GDEs)
☆200Updated 3 years ago
Alternatives and similar repositories for gde:
Users that are interested in gde are comparing it to the libraries listed below
- Graph Neural PDEs☆326Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 5 months ago
- ☆46Updated 3 years ago
- ☆55Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆269Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆102Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆93Updated 2 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆158Updated last year
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆86Updated last year
- This repository contains code released by DiffEqML Research☆87Updated 2 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆104Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆76Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 6 months ago
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- ☆155Updated 3 years ago
- ☆62Updated 4 years ago
- Topological Graph Neural Networks (ICLR 2022)☆122Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆250Updated 3 years ago