HarlinLee / nonconvex-GTF-publicLinks
Code for nonconvex graph trend filtering
☆10Updated 3 years ago
Alternatives and similar repositories for nonconvex-GTF-public
Users that are interested in nonconvex-GTF-public are comparing it to the libraries listed below
Sorting:
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 4 years ago
- iADMM for a low-rank representation optimization problem☆13Updated 4 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Updated 3 years ago
- Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933☆16Updated 7 years ago
- ☆18Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- ☆14Updated 3 years ago
- ☆30Updated 4 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- A Library for Minimax Risk Classifiers☆31Updated last week
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- ☆12Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 5 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated 2 months ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Updated 6 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆17Updated 4 years ago
- ☆17Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- ☆16Updated 2 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago