Towards Symbolic XAI -- Explanation Through Human Understandable Logical
Relationships Between Features

Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features

30 August 2024

Farnoush Rezaei Jafaria

Ping Xiong

Shinichi Nakajima

Klaus-Robert Müller

Papers citing "Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features"

3 / 3 papers shown

Title
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 142 242 0 01 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 39 60 0 24 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016