Neural Graph Differential Equations (Neural GDEs)
☆212Apr 15, 2021Updated 5 years ago
Alternatives and similar repositories for gde
Users that are interested in gde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆47Nov 17, 2021Updated 4 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,532Sep 13, 2024Updated last year
- Neural Dynamics on Complex Networks☆55Sep 24, 2020Updated 5 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,572May 2, 2024Updated 2 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆592Dec 3, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆89Nov 10, 2022Updated 3 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆710Oct 22, 2022Updated 3 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 6 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆133Aug 27, 2024Updated last year
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,447Apr 4, 2025Updated last year
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Jun 15, 2021Updated 5 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Dec 19, 2023Updated 2 years ago
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆21May 9, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆11Apr 14, 2022Updated 4 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆172Sep 14, 2024Updated last year
- ☆38Sep 22, 2021Updated 4 years ago
- Factoried Neural Relational Inference for Multi-Interacting Systems☆30May 22, 2019Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆101Jan 7, 2021Updated 5 years ago
- Refining continuous-in-depth neural networks☆42Nov 14, 2021Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆556Feb 9, 2023Updated 3 years ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Feb 1, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Mar 13, 2021Updated 5 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 3 years ago
- 2019 Fall - Game theory and Multi-agent RL Termproject☆10Dec 13, 2019Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆172Feb 11, 2022Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆277Apr 26, 2023Updated 3 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Feb 19, 2020Updated 6 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆21Nov 4, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆483Sep 4, 2025Updated 9 months ago
- Source code for PairNorm (ICLR 2020)☆78Mar 26, 2020Updated 6 years ago
- Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020☆63Feb 18, 2021Updated 5 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Nov 18, 2020Updated 5 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆106Jan 28, 2020Updated 6 years ago
- Gradient gating (ICLR 2023)☆55May 11, 2023Updated 3 years ago