maxkatzmann / Hipe
A Python tool to visualize geometric shapes in the native representation of hyperbolic space.
☆10Updated 5 years ago
Alternatives and similar repositories for Hipe:
Users that are interested in Hipe are comparing it to the libraries listed below
- Linear-time sampling algorithm for geometric inhomogeneous random graphs with a special case implementation for hyperbolic random graphs.☆15Updated last year
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Experiments and content for the "Accelerating hyperbolic t-SNE" paper.☆12Updated 7 months ago
- Library of python functions for the analysis of hypergraphs.☆12Updated 2 months ago
- Graph homomorphism and retract searching☆10Updated 9 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated 2 years ago
- This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.☆9Updated 3 years ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Updated 2 years ago
- Official repository of "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs", CIKM 2022☆17Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated 11 months ago
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Updated 3 years ago
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023☆12Updated last year
- gSparse: C++ Library for Graph Sparsification☆12Updated 5 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- ☆11Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- Graph Metric Learning in PyTorch☆11Updated 4 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- Learning Tree structures and Tree metrics☆23Updated 8 months ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Updated last year
- ☆13Updated 4 years ago
- Accelerating Network Layouts Using Graph Neural Networks☆24Updated 2 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆21Updated 2 years ago
- ☆12Updated 3 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆12Updated 5 years ago
- Graph Homomorphism Convolution (ICML'20)☆12Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Software for "Configuration Models of Random Hypergraphs"☆28Updated 2 years ago