HanbaekLyu / NNetwork
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
☆11Updated last year
Alternatives and similar repositories for NNetwork:
Users that are interested in NNetwork are comparing it to the libraries listed below
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Updated 2 years ago
- ☆10Updated 3 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- Official Python implementation of Geometric Component Analysis (GeomCA) algorithm.☆9Updated 2 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 3 years ago
- ☆9Updated last year
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 7 months ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Updated 3 years ago
- ☆12Updated 3 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆9Updated 7 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆34Updated 4 years ago
- Code for nonconvex graph trend filtering☆10Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆13Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 3 years ago
- ☆21Updated 2 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 6 months ago
- Conceptual & empirical comparisons between decision forests & deep networks☆17Updated last week
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 2 years ago
- ☆30Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ☆16Updated 2 years ago
- ☆14Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆23Updated 2 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago