saibalmars / GraphRicciCurvatureLinks
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
☆276Updated last year
Alternatives and similar repositories for GraphRicciCurvature
Users that are interested in GraphRicciCurvature are comparing it to the libraries listed below
Sorting:
- Topological Graph Neural Networks (ICLR 2022)☆125Updated 3 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆165Updated 2 years ago
- Graph Neural PDEs☆337Updated 3 years ago
- Computing on Topological Domains☆255Updated this week
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆82Updated 4 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- ☆97Updated 2 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Updated 7 months ago
- A topological machine learning framework based on PyTorch☆198Updated 3 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 7 months ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆144Updated 5 years ago
- ☆366Updated last year
- Topological Deep Learning☆312Updated last week
- ☆22Updated 4 years ago
- Neural Graph Differential Equations (Neural GDEs)☆211Updated 4 years ago
- Topological Data Analysis in Python: Simplicial Complex☆124Updated last week
- Distances and representations of persistence diagrams☆132Updated this week
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- here you can find the material used for our Tutorials☆102Updated 4 years ago
- Python library assists deep learning on graphs☆566Updated last month
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Updated 4 years ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆449Updated 10 months ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- ☆84Updated 2 years ago
- ☆11Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Updated 5 years ago