tgp-team / torch-geometric-poolLinks
The graph pooling library made for Pytorch Geometric
☆16Updated last week
Alternatives and similar repositories for torch-geometric-pool
Users that are interested in torch-geometric-pool are comparing it to the libraries listed below
Sorting:
- GraphCON (ICML 2022)☆59Updated 2 years ago
- ☆31Updated last year
- Random walk unit with memory☆21Updated 9 months ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆17Updated 4 years ago
- Graph Neural PDEs☆333Updated 2 years ago
- ☆40Updated 3 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Graph convolutions in Keras with TensorFlow, PyTorch or Jax.☆115Updated 6 months ago
- ☆22Updated 4 years ago
- COMP760 Lecture Notes☆26Updated 2 years ago
- Computing on Topological Domains☆227Updated this week
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆27Updated 2 months ago
- Topological Neural Networks go Persistent, Equivariant and Continuous☆13Updated last year
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆35Updated 7 months ago
- Edge representation learning library☆26Updated 2 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆81Updated 8 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆83Updated last year
- [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆43Updated 5 months ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated last year
- ☆21Updated last year
- ☆30Updated 2 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆36Updated 4 months ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- Distributed PyTorch implementation of multi-headed graph convolutional neural networks☆84Updated this week
- Distance-based Analysis of DAta-manifolds in python☆131Updated 2 weeks ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Spatio-Spectral Graph Neural Networks (S²GNN)☆11Updated 4 months ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago