saibalmars / GraphRicciCurvature
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
☆247Updated 9 months ago
Alternatives and similar repositories for GraphRicciCurvature:
Users that are interested in GraphRicciCurvature are comparing it to the libraries listed below
- Topological Graph Neural Networks (ICLR 2022)☆122Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- ☆349Updated 9 months ago
- Graph Neural PDEs☆331Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆160Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆393Updated 10 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Hyperbolic Graph Neural Networks☆232Updated 5 years ago
- ☆421Updated 6 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆78Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated last year
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆271Updated last month
- An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)☆70Updated 2 years ago
- A graph matching library for Python☆202Updated 11 months ago
- Computing on Topological Domains☆210Updated last week
- Hyperbolic Graph Convolutional Networks in PyTorch.☆616Updated 8 months ago
- A curated list of graph data augmentation papers.☆307Updated last year
- ☆94Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- ☆20Updated 4 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆124Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆287Updated 3 years ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆88Updated 4 years ago