As-12 / gSparseLinks
gSparse: C++ Library for Graph Sparsification
☆12Updated 5 years ago
Alternatives and similar repositories for gSparse
Users that are interested in gSparse are comparing it to the libraries listed below
Sorting:
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- Multilevel graph coarsening algorithm with spectral and cut guarantees☆89Updated 5 years ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last month
- Code for computing Hypergraph Co-Optimal Transport distances☆16Updated 2 years ago
- ☆14Updated last year
- Embedding graphs in symmetric spaces☆30Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- CO-Optimal Transport☆42Updated 4 years ago
- ☆12Updated 2 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Library of python functions for the analysis of hypergraphs.☆12Updated 4 months ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated 2 years ago
- ☆24Updated last year
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Quickly compute all maximal cliques of a graph☆78Updated 6 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- [NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs☆16Updated 4 years ago
- ☆25Updated 3 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 5 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 9 months ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆68Updated 2 years ago
- ☆141Updated 4 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- Wasserstein Distance Graph Alignment☆23Updated 4 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Updated 2 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 9 months ago