saibalmars / GraphRicciCurvatureLinks
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
☆260Updated 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)☆123Updated 3 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆163Updated 2 years ago
- Graph Neural PDEs☆332Updated 2 years ago
- ☆95Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 2 months ago
- ☆358Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- Computing on Topological Domains☆235Updated last week
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated 11 months ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.☆43Updated 6 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆91Updated 5 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 6 months ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆139Updated 5 years ago
- Neural Graph Differential Equations (Neural GDEs)☆204Updated 4 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Updated 2 months ago
- ☆84Updated 3 years ago
- Python library assists deep learning on graphs☆564Updated last year
- Temporal Graph Benchmark project repo☆236Updated last month
- Graph Neural Network Tutorial☆191Updated 5 years ago
- Hyperbolic Graph Neural Networks☆237Updated 5 years ago
- ☆22Updated 4 years ago