Scholar
Christopher Morris
Google Scholar ID: 3f6_I8MAAAAJ
RWTH Aachen University
Machine learning on graphs
graph neural networks
machine learning for discrete algorithms
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Citations & Impact
All-time
Citations
8,904
H-index
27
i10-index
31
Publications
20
Co-authors
71
list available
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Publications
14 items
Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
2026
Cited
0
On the Expressive Power of GNNs to Solve Linear SDPs
2026
Cited
0
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
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Co-authors
16 total
Nils M. Kriege
University of Vienna
Petra Mutzel
Professorin für Informatik, Universität Bonn
Kristian Kersting
Professor of AI & ML, Technical University of Darmstadt, Hessian.ai, DFKI, CAIRNE/ELLIS, AAAI Fellow
Matthias Fey
Founding Engineer @ kumo.ai
Jan Eric Lenssen
Max Planck Institute for Informatics; Kumo.ai
Chendi Qian
RWTH Aachen University
Martin Ritzert
Georg-August Universität Göttingen
Jure Leskovec
Professor of Computer Science, Stanford University
