The library for pooling in Graph Neural Networks made for Pytorch Geometric
☆58Apr 21, 2026Updated 3 weeks ago
Alternatives and similar repositories for torch-geometric-pool
Users that are interested in torch-geometric-pool are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Synthetic graph generator☆13Nov 7, 2023Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆35Nov 8, 2023Updated 2 years ago
- Simple code for the tutorial on Polynomial Nets.☆13Jan 19, 2023Updated 3 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Apr 20, 2026Updated last month
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Dec 9, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Jan 2, 2025Updated last year
- Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)☆15Dec 7, 2023Updated 2 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated last month
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆24Jul 25, 2024Updated last year
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆25Apr 1, 2025Updated last year
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Oct 10, 2023Updated 2 years ago
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆26Jul 10, 2024Updated last year
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆21Apr 17, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- jobflow-remote is a Python package to run jobflow workflows on remote resources.☆39May 12, 2026Updated last week
- High-throughput workflows to calculate surface energies of solids.☆12Jun 24, 2024Updated last year
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆14May 18, 2022Updated 4 years ago
- Data structures for graph neural network☆19May 25, 2024Updated last year
- A fast domain decomposition based implementation of the COSMO solvation model☆16Jun 15, 2020Updated 5 years ago
- ☆12Sep 25, 2023Updated 2 years ago
- A library for subgraph GNN based on pyg☆39Nov 28, 2024Updated last year
- Efficiently design and manage flexible workflows with AiiDA, featuring an interactive GUI, checkpoints, provenance tracking, and remote e…☆27Apr 13, 2026Updated last month
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆63May 23, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A brain for self-driving laboratories☆50May 21, 2025Updated 11 months ago
- Official PyTorch implementation of Diffusive Gibbs Sampler (DiGS), proposed in the paper Diffusive Gibbs Sampling (published at ICML 2024…☆11Aug 15, 2024Updated last year
- This repository contains the source code for Bayesian Learned Interatomic Potentials (BLIP)☆33May 4, 2026Updated 2 weeks ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Mar 15, 2025Updated last year
- ☆11Jul 21, 2023Updated 2 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆22Apr 3, 2026Updated last month
- Repository for computing the probability distribution of an optimal control problem☆11Oct 4, 2021Updated 4 years ago
- Code related to the ELM neuron.☆15Feb 27, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Ab initio electronic structure beyond density function theory☆32Apr 27, 2026Updated 3 weeks ago
- 👁️🗨️ Scientists often do the same bad stuff. Automate giving deterministic feedback during peer review with determinstic (LLM-free)☆30May 9, 2025Updated last year
- ☆14Aug 17, 2020Updated 5 years ago
- PyTorch Autodiff DFT-D4 Implementation.☆24Apr 27, 2026Updated 3 weeks ago
- ☆10Jan 4, 2024Updated 2 years ago
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 years ago