This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
- Updated
May 25, 2023 - Python
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Predict scores of NBA games using regularized matrix completion
Lightweight Python library for in-memory matrix completion.
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Low-rank Matrix Completion using Alternating Minimization
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
Source code for the paper "Extendable Neural Matrix Completion"
The implementation of paper "HPOFiller: identifying missing protein-phenotype associations by graph convolutional network".
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
Exact Matrix Completion via Convex Optimization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"
Imputation method for scRNA-seq based on low-rank approximation
Code for Learned Turbo-ype Affine Rank Minimization
Network-guided matrix completion
Lightweight Implementation of the Matrix Completion Estimator for Panel Data presented by Athey et al. (2021)
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