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Scalable Probabilistic Matrix Factorization with Graph-Based Priors
v1v2 (latest)

Scalable Probabilistic Matrix Factorization with Graph-Based Priors

AAAI Conference on Artificial Intelligence (AAAI), 2019
25 August 2019
Jonathan Strahl
J. Peltonen
Hiroshi Mamitsuka
Samuel Kaski
ArXiv (abs)PDFHTML

Papers citing "Scalable Probabilistic Matrix Factorization with Graph-Based Priors"

6 / 6 papers shown
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
Amirhossein Dadashzadeh Taromi
Sina Heydari
Mohsen Hooshmand
Majid Ramezani
MLAUCML
354
1
0
10 Feb 2025
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data CompletionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Le Xu
Lei Cheng
Ngai Wong
Yik-Chung Wu
ViT
258
3
0
19 Jun 2023
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug
  Interactions Prediction
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions PredictionbioRxiv (bioRxiv), 2022
Stuti Jain
Émilie Chouzenoux
Kriti Kumar
A. Majumdar
168
20
0
19 Oct 2022
Probabilistic Embeddings with Laplacian Graph Priors
Probabilistic Embeddings with Laplacian Graph Priors
V. Yrjänäinen
Måns Magnusson
290
1
0
25 Mar 2022
GLocal-K: Global and Local Kernels for Recommender Systems
GLocal-K: Global and Local Kernels for Recommender SystemsInternational Conference on Information and Knowledge Management (CIKM), 2021
S. Han
Taejun Lim
Siqu Long
Bernd Burgstaller
Josiah Poon
271
52
0
27 Aug 2021
Federated Multi-view Matrix Factorization for Personalized
  Recommendations
Federated Multi-view Matrix Factorization for Personalized Recommendations
Adrian Flanagan
Were Oyomno
A. Grigorievskiy
K. E. Tan
Suleiman A. Khan
Muhammad Ammad-ud-din
FedML
252
82
0
08 Apr 2020
1
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