DINE: Dimensional Interpretability of Node Embeddings

2 October 2023

Papers citing "DINE: Dimensional Interpretability of Node Embeddings"

5 / 5 papers shown

Title
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 31 0 0 28 Oct 2024
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction Z. Zang Yuhao Wang J. Wu Hong Liu Yue Shen Stan Z. Li Zhen Lei 129 0 0 25 Oct 2024
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing Martin Lebourdais Théo Mariotte Antonio Almudévar Marie Tahon Alfonso Ortega 30 0 0 19 Jun 2024
Model Selection with Model Zoo via Graph Learning Ziyu Li Hilco van der Wilk Danning Zhan Megha Khosla A. Bozzon Rihan Hai 46 1 0 05 Apr 2024
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 592 0 31 Dec 2020