andrewk1 / correctandsmoothLinks
Simple correct&smooth implementation in PyTorch.
☆13Updated 3 years ago
Alternatives and similar repositories for correctandsmooth
Users that are interested in correctandsmooth are comparing it to the libraries listed below
Sorting:
- Course Project for CS224W at Stanford☆22Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Python package for graph-based clustering and semi-supervised learning☆101Updated 3 weeks ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 5 years ago
- Hyperbolic Hierarchical Clustering.☆207Updated 2 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 6 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Updated 4 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 6 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆50Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Updated 6 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Updated 10 months ago
- ☆30Updated 4 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 4 years ago
- ☆31Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆144Updated 5 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆139Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆75Updated 2 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated 2 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Updated 5 years ago
- ☆98Updated 2 years ago
- Python package for multi-view machine learning☆217Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆86Updated 3 years ago