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Christopher Morris
Scholar

Christopher Morris

Google Scholar ID: 3f6_I8MAAAAJ
RWTH Aachen University
Machine learning on graphsgraph neural networksmachine learning for discrete algorithms
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
8,904
 
H-index
27
 
i10-index
31
 
Publications
20
 
Co-authors
71
list available
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
12 items
Which Algorithms Can Graph Neural Networks Learn?
2026
Cited
1
Learning to Approximate Uniform Facility Location via Graph Neural Networks
2026
Cited
0
Position: Message-passing and spectral GNNs are two sides of the same coin
2026
Cited
0
GraIP: A Benchmarking Framework For Neural Graph Inverse Problems
2026
Cited
0
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
2026
Cited
0
GraphBench: Next-generation graph learning benchmarking
2025
Cited
0
Generalizable Insights for Graph Transformers in Theory and Practice
2025
Cited
0
Understanding Generalization in Node and Link Prediction
2025
Cited
0
Resume (English only)
Co-authors
71 total
Nils M. Kriege
Nils M. Kriege
University of Vienna
Petra Mutzel
Petra Mutzel
Professorin für Informatik, Universität Bonn
Co-author 3
Co-author 3
Kristian Kersting
Kristian Kersting
Professor of AI & ML, Technical University of Darmstadt, Hessian.ai, DFKI, CAIRNE/ELLIS, AAAI Fellow
Matthias Fey
Matthias Fey
Founding Engineer @ kumo.ai
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Co-author 8
Co-author 8

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