VG-TIE: An interpretable tabular-to-image encoding method based on visibility graphs

arXiv:2609.29650 · cs.CV, cs.LG · Submitted 2026-08-29 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-08-29

Updated: 2026-08-29

Terminology

Interpretability — 18× in this paper · explained in 15 episodes
Horizontal Visibility Graph — 4× in this paper
Principal Component Analysis — 3× in this paper
Transformer — 3× in this paper · explained in 2 episodes
AUC — 2× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Graph Construction — 2× in this paper · explained in 3 episodes
Principal Component Analysis (PCA) — 2× in this paper · explained in 4 episodes
Adam — 1× in this paper · explained in 2 episodes
Adjacency Matrix — 1× in this paper · explained in 1 episode
Binary Image Encoding — 1× in this paper
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Explainability — 1× in this paper · explained in 3 episodes
Generalization — 1× in this paper · explained in 13 episodes
Hybrid Architectures — 1× in this paper · explained in 3 episodes
Model-Agnostic — 1× in this paper · explained in 2 episodes
Natural Visibility Graph — 1× in this paper
Predictive Modeling — 1× in this paper · explained in 2 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes
Wisconsin Diagnostic Breast Cancer — 1× in this paper