LDP for graph classification
☆23Nov 14, 2019Updated 6 years ago
Alternatives and similar repositories for LDP
Users that are interested in LDP 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 "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- ☆11Aug 22, 2023Updated 3 years ago
- Papers on Topology + Learning.☆14Feb 12, 2020Updated 6 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 7 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆35Feb 20, 2020Updated 6 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- ☆16May 20, 2020Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 5 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Dec 13, 2020Updated 5 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 5 years ago
- Graph Embedding via Frequent Subgraphs☆44May 5, 2020Updated 6 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.
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆106Jan 28, 2020Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 6 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Dec 11, 2022Updated 3 years ago
- ☆10May 5, 2023Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated 2 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Jul 5, 2018Updated 8 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Jan 10, 2019Updated 7 years ago
- Fast Approximate Quadratic Assignment for (Brain) Graph Matching☆16Aug 23, 2016Updated 10 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆299Feb 28, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Dec 6, 2019Updated 6 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆16Jun 13, 2020Updated 6 years ago
- Graph kernels☆56Dec 3, 2025Updated 9 months ago
- The Mixing method: coordinate descent for low-rank semidefinite programming☆15Apr 30, 2021Updated 5 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆23Jun 11, 2019Updated 7 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆14Sep 12, 2023Updated 3 years ago
- Datasets used for NeuralProphet tutorials☆22Jul 7, 2023Updated 3 years ago
- Tools for generating and comparing Decorated Merge Trees, enriched persistence-based topological data descriptors.☆19Aug 27, 2022Updated 4 years ago
- Graph Coarsening with Neural Networks☆11Mar 3, 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.
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- This tutorial accompanies the NSF-CBMS Conference and Software Day on Topological Methods in Machine Learning and Artificial Intelligence…☆22May 18, 2019Updated 7 years ago
- A Rubygem for array-based scientific computations using GPGPU☆12Oct 13, 2017Updated 8 years ago
- [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning☆21Apr 28, 2025Updated last year
- Python xml.sax☆10Mar 19, 2019Updated 7 years ago
- Computational and Applied Topology List☆26Updated this week
- Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags☆10Apr 28, 2018Updated 8 years ago