Scholar
Ping Xiong
Google Scholar ID: Vfsspj8AAAAJ
Technical University Berlin
Machine Learning
Explainability
Graph Neural Network
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Citations & Impact
All-time
Citations
50
H-index
3
i10-index
3
Publications
6
Co-authors
8
list available
Publications
10 items
WaveGSSM: Graph Wave State Space Models for Propagating Spatio-Temporal Patterns
2026
Cited
0
Stability-Shaped Deep Graph Learning
2026
Cited
0
Explaining Hyperbolic Neural Networks via Geometry-Aware Relevance Propagation
2026
Cited
0
RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language Models
2026
Cited
0
Explaining Temporal Graph Neural Networks via Feature-induced Information Flow
2026
Cited
0
Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures
2026
Cited
0
Relevant Walk Search for Explaining Graph Neural Networks
2026
Cited
0
Efficient Higher-order Subgraph Attribution via Message Passing
2026
Cited
0
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Co-authors
7 total
Thomas Schnake
Technical University of Berlin
Shinichi Nakajima
BIFOLD, Technische Universität Berlin
Grégoire Montavon
Professor, Charité / BIFOLD
Klaus-Robert Müller
TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany
Michael Gastegger
Microsoft Research AI4Science
Stefan Gugler
Postdoc at TU Berlin
Farnoush Rezaei-Jafari
Technical University of Berlin
