spatialdatasciencegroup / HSTLinks
[NeurIPS '23] Official code of "A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space"
☆13Updated 4 months ago
Alternatives and similar repositories for HST
Users that are interested in HST are comparing it to the libraries listed below
Sorting:
- ☆16Updated 3 years ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆38Updated last month
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆38Updated 3 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆69Updated 3 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆64Updated 2 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- ☆37Updated 8 months ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Updated 3 years ago
- ☆25Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆44Updated 3 weeks ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆84Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆41Updated last year
- KDD2024: "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space"☆24Updated 7 months ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆38Updated 11 months ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year
- ☆55Updated 3 years ago
- Tensor-based hypergraph neural networks☆18Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆31Updated 2 years ago
- ☆50Updated 7 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆72Updated 8 months ago
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆62Updated 3 months ago
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆24Updated 4 months ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆23Updated 2 years ago
- Official Repository for Simplicial Attention Networks☆32Updated 2 years ago
- The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…☆58Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago