hedixia / HeavyBallNODELinks
☆13Updated 4 years ago
Alternatives and similar repositories for HeavyBallNODE
Users that are interested in HeavyBallNODE are comparing it to the libraries listed below
Sorting:
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- On Robustness of Neural Ordinary Differential Equations☆11Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 3 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 7 months ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 4 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Updated last year
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆112Updated 2 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 4 years ago
- GraphCON (ICML 2022)☆59Updated 3 years ago
- Path integral based convolution and pooling☆30Updated 2 years ago
- ☆13Updated 4 years ago
- Implicit Graph Neural Networks☆64Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- ☆10Updated 3 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆16Updated 7 months ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆14Updated 5 years ago