Logical Distillation of Graph Neural Networks

Logical Distillation of Graph Neural Networks

11 June 2024

Alexander Pluska

Thomas Gärtner

Papers citing "Logical Distillation of Graph Neural Networks"

12 / 12 papers shown

Title
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 65 29 0 27 Oct 2022
Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin Antonio Longa Pietro Barbiero Pietro Lio Andrea Passerini 38 54 0 13 Oct 2022
The Logic of Graph Neural Networks Martin Grohe AI4CE 27 89 0 29 Apr 2021
GLocalX -- From Local to Global Explanations of Black Box AI Models Mattia Setzu Riccardo Guidotti A. Monreale Franco Turini D. Pedreschi F. Giannotti 39 119 0 19 Jan 2021
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 65 161 0 07 Sep 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 137 802 0 16 Jul 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 59 392 0 03 Jun 2020
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization Nina Schaaf Marco F. Huber Johannes Maucher 97 36 0 10 Apr 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 141 7,554 0 01 Oct 2018
Deep Neural Decision Trees Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales PINN 30 184 0 19 Jun 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 112 281 0 16 Nov 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 429 28,795 0 09 Sep 2016