A Persistent Weisfeiler–Lehman Procedure for Graph Classification
☆63Jun 9, 2021Updated 4 years ago
Alternatives and similar repositories for P-WL
Users that are interested in P-WL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LEAP (Learning Edges by Aggregation of Paths)☆12Feb 2, 2024Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- hybrid computing engine executed by both GPU and multicore to accelerate PH matrix reduction☆13Dec 2, 2019Updated 6 years ago
- LDP for graph classification☆23Nov 14, 2019Updated 6 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆88Sep 1, 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.
- DeepDive Biomedical Tools☆15Apr 3, 2017Updated 9 years ago
- Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…☆11Mar 11, 2020Updated 6 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆191Mar 22, 2022Updated 4 years ago
- ☆16Apr 11, 2020Updated 6 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Feb 25, 2020Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- ☆22Mar 10, 2021Updated 5 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Jul 6, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Jun 9, 2020Updated 5 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Jun 11, 2019Updated 6 years ago
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 2 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- Demo of using aNNE similarity for DBSCAN.☆12Apr 26, 2021Updated 4 years ago
- Graph kernels☆56Dec 3, 2025Updated 4 months ago
- some papers about TDA☆13May 18, 2022Updated 3 years ago
- IKPyKit: Isolation Kernel Python toolKit☆12Apr 3, 2026Updated last week
- 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.
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- Certifiable Robustness to Graph Perturbations☆14May 8, 2020Updated 5 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆19Nov 21, 2019Updated 6 years ago
- Examples of more involved applications using Geomstats☆33Mar 6, 2021Updated 5 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Sep 28, 2023Updated 2 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆24Jun 7, 2023Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆105Jun 15, 2021Updated 4 years ago
- Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.☆11Nov 16, 2022Updated 3 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Feb 1, 2018Updated 8 years ago
- 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.
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Jan 18, 2022Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Jul 17, 2018Updated 7 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- A collection of Topology Methods in Deep Learning☆18Jun 19, 2020Updated 5 years ago
- Deprecated repository for "Deep Learning with Topological Signatures"☆37Mar 6, 2020Updated 6 years ago
- ☆16May 23, 2018Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 6 years ago