HanbaekLyu / NNetworkLinks
Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalable sampling and searching algorithms
☆12Updated last year
Alternatives and similar repositories for NNetwork
Users that are interested in NNetwork are comparing it to the libraries listed below
Sorting:
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 4 years ago
- ☆16Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- A Library for Minimax Risk Classifiers☆31Updated 2 weeks ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- Python package for Stein Thinning☆13Updated last year
- A repository for reproducing the results in Selection by Prediction paper☆15Updated 3 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆13Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Implementation of multi-output conformal regression methods☆11Updated 2 months ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 6 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13Updated 6 years ago
- ☆18Updated 2 years ago
- ☆13Updated 4 years ago
- ☆12Updated 4 years ago
- ☆18Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago
- ☆17Updated last year
- ☆22Updated 2 years ago
- [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
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Learning clinical-decision rules with interpretable models.☆20Updated 2 years ago
- Code for nonconvex graph trend filtering☆10Updated 3 years ago