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Ping Xiong

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Technische Universität Berlin
Probabilistic Modeling and Inference

Marchstr. 23, 10587 Berlin
https://www.tu.berlin/en/ml

© BIFOLD

Ping Xiong

Doctoral Researcher

M.Sc. Industrial Engineering, TU Berlin

B.Sc. Industrial Engineering, TU Berlin

Member of BIFOLD Graduate School

  • Explainable AI
  • Graph Neural Network
  • Bayesian Learning
  • Applications

Thomas Schnake, Farnoush Rezaei Jafaria, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller

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

August 30, 2024
https://doi.org/10.48550/arXiv.2408.17198

Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Müller, Shinichi Nakajima

Relevant Walk Search for Explaining Graph Neural Networks

April 24, 2023
https://proceedings.mlr.press/v202/xiong23b.html

Ping Xiong, Thomas Schnake, Gregoire Montavon, Klaus-Robert Muller, Shinichi Nakajima

Efficient Higher-Order Subgraph Attribution via Message Passing

July 17, 2022
https://proceedings.mlr.press/v162/xiong22a/xiong22a.pdf

Ping Xiong, Thomas Schnake, Gregoire Montavon, Klaus-Robert Müller, Shinichi Nakajima

Efficient Computation of Higher-Order Subgraph Attribution via Message Passing

2022
https://proceedings.mlr.press/v162/xiong22a.html