Multilevel graph coarsening algorithm with spectral and cut guarantees
☆96May 18, 2020Updated 6 years ago
Alternatives and similar repositories for graph-coarsening
Users that are interested in graph-coarsening are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Jun 5, 2024Updated 2 years ago
- A set of useful algebraic preconditioners for iterative numerical linear-algebraic methods.☆18Jul 23, 2022Updated 3 years ago
- Graph Coarsening with Neural Networks☆11Mar 3, 2022Updated 4 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆18May 30, 2023Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Oct 18, 2023Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Graph partitioning for distributed GNN training☆13Mar 26, 2023Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Jun 9, 2020Updated 6 years ago
- ☆11Sep 30, 2020Updated 5 years ago
- Ongoing project: a library for graph foundation model☆13Feb 7, 2024Updated 2 years ago
- Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"☆17Aug 27, 2025Updated 10 months ago
- Graph revised convolutional network (ECML-PKDD 2020)☆17Oct 14, 2020Updated 5 years ago
- MILE: A Multi-Level Framework for Scalable Graph Embedding☆15Jul 19, 2020Updated 6 years ago
- Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"☆13Nov 19, 2021Updated 4 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆16Dec 6, 2022Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆189Feb 25, 2026Updated 4 months ago
- Official implementation of "SCORE: Second Order Conic Initialization for RA-SLAM"☆33Jan 11, 2024Updated 2 years ago
- Solving pursuit-evasion problems on graphs using Reinfocement Learning and GNNs☆17Oct 12, 2022Updated 3 years ago
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆19Mar 29, 2023Updated 3 years ago
- Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)☆20Dec 1, 2022Updated 3 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆145Oct 10, 2025Updated 9 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- source code for IJCAI 2023 accpeted Paper CSGCL:Community Strength Enhanced Graph Contrastive Learning☆17Mar 20, 2024Updated 2 years ago
- Code and paper repository for the ICML paper "Learning population level diffusions with generative recurrent networks"☆11May 26, 2016Updated 10 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆38Mar 2, 2021Updated 5 years ago
- Graph Signal Processing in Python☆539Sep 11, 2025Updated 10 months ago
- ☆62Oct 24, 2020Updated 5 years ago
- CaDiCaL + neural glue variable predictions☆10Oct 21, 2020Updated 5 years ago
- A framework of aggregating huge-scale graph based on metis algorithm.☆18Dec 11, 2020Updated 5 years ago
- Random Walk Graph Neural Networks☆56Feb 21, 2021Updated 5 years ago
- ☆36Jun 29, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Cluster-Normalize-Activate Modules☆13Jan 13, 2025Updated last year
- Chemical Science 2023: An equivariant generative framework for molecular graph-structure Co-design☆10Jun 18, 2023Updated 3 years ago
- This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labe…☆12Feb 28, 2023Updated 3 years ago
- Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"☆31Feb 20, 2024Updated 2 years ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆14Mar 6, 2025Updated last year
- ☆13Feb 16, 2021Updated 5 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Feb 4, 2019Updated 7 years ago