GitHub

TuckER: Tensor Factorization for Knowledge Graph Completion

This codebase contains PyTorch implementation of the paper: TuckER: Tensor Factorization for Knowledge Graph Completion. Ivana Balažević, Carl Allen, and Timothy M. Hospedales. Empirical Methods in ...
IEEE

Tensor Factorization for Low-Rank Tensor Completion

Abstract: Recently, a tensor nuclear norm (TNN) based method was proposed to solve the tensor completion problem, which has achieved state-of-the-art performance on image and video inpainting tasks.
GitHub

212_matrix_factorization_ja.ipynb

"ここでは問題サイズの観点から \"user_id\"、\"movei_id\" ともに100までのデータのみを抽出し、100 x 100 行列とします。" "def df_to_matrix(df, user_num, item_num, row_name, col_name, values):\n", " df1 = df[df[row_name ...
IEEE

Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination

Abstract: Robust tensor factorization is a fundamental problem in machine learning and computer vision, which aims at decomposing tensors into low-rank and sparse components. However, existing methods ...