☆12May 31, 2021Updated 5 years ago
Alternatives and similar repositories for random-graph-gnn
Users that are interested in random-graph-gnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python packages for Support Vector Regression with Linear Constraints☆10Jul 9, 2020Updated 6 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated 2 years ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Jan 27, 2024Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated 2 years ago
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Feb 4, 2022Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 3 years ago
- Operators and solvers for high-performance computing.☆15Mar 2, 2026Updated 8 months ago
- Benchopt benchmark for Lasso☆14Jul 22, 2025Updated last year
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆19Aug 8, 2023Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Sep 4, 2023Updated 3 years ago
- SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance☆17Jan 27, 2020Updated 6 years ago
- Code for Graph Normalizing Flows.☆65Oct 28, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Jan 29, 2022Updated 4 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated 2 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Apr 26, 2023Updated 3 years ago
- In this repository, an approach is implemented to automatically detect and geolocate public objects, solely based on public available pan…☆10Oct 5, 2022Updated 4 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago
- Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized …☆37Jun 27, 2023Updated 3 years ago
- (ICML 2020) Message Passing Least Squares Algorithm for Rotation Averaging☆13May 10, 2025Updated last year
- Research repo for AI aided drug discovery, de novo drug development and related topics☆38Jan 4, 2022Updated 4 years ago
- Hyper volume maximization for GAN training☆25May 11, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- An implementation of a neural network training routine using derivative information in Pytorch.☆11Dec 19, 2020Updated 5 years ago
- ☆26Jul 15, 2021Updated 5 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆13Sep 17, 2019Updated 7 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Feb 6, 2022Updated 4 years ago
- Scalable GP Adapter for Time Series Classification☆13Aug 29, 2017Updated 9 years ago
- An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.☆37May 19, 2017Updated 9 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Aug 23, 2022Updated 4 years ago
- Implementation of voronoi diagram with incremental algorithm☆13Jun 10, 2020Updated 6 years ago
- Jupyter Widgets for force-directed graphs☆14Sep 19, 2023Updated 3 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.
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆41May 22, 2023Updated 3 years ago
- ☆11Jun 21, 2022Updated 4 years ago
- This Repository contains Weekly modules and assignments from the course 'Applied Machine Learning in Python', Part of the Applied 'Data S…☆10Jul 30, 2017Updated 9 years ago
- Contrast Subgraph Mining from Coherent Cores☆13Feb 20, 2018Updated 8 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Feb 10, 2020Updated 6 years ago
- Leveraging Two Types of Global Graph for Sequential Fashion Recommendation, ICMR 2021☆10Jun 15, 2021Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 years ago