andrewk1 / correctandsmoothLinks
Simple correct&smooth implementation in PyTorch.
☆12Updated 2 years ago
Alternatives and similar repositories for correctandsmooth
Users that are interested in correctandsmooth are comparing it to the libraries listed below
Sorting:
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- ☆12Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- ☆31Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 3 years ago
- ☆18Updated last year
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆17Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 2 weeks ago
- ☆20Updated 4 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 2 months ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- Contrastive neighbor embeddings☆54Updated 3 months ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year