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Stefanie Jegelka — most-cited papers & profile · Graph Learning
← authors
·
overview
Stefanie Jegelka
19
papers ·
521
citations ·
37
h-index
Technical University of Munich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
How Powerful are Graph Neural Networks?
2018 · 386 citations
Generalization and Representational Limits of Graph Neural Networks
2020 · 54 citations
Information Obfuscation of Graph Neural Networks
2020 · 8 citations
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
2020 · 6 citations
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024 · 3 citations
Theory of Graph Neural Networks: Representation and Learning
2022 · 2 citations
Survey on Generalization Theory for Graph Neural Networks
2025
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
2023
Top co-authors
and Christopher Morris
· 1
Derek Lim
· 1
Doina Precup
· 1
Guy Wolf
· 1
Han Zhao
· 1
Jian Tang
· 1
Jure Leskovec
· 1
Liheng Ma
· 1
Lirong Wu
· 1
Minkai Xu
· 1
Peiyuan Liao
· 1
Rex Ying
· 1
Topics
Theory & Expressivity
GNN Architectures
Knowledge Graphs
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Temporal & Dynamic