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Mark Heimann — most-cited papers & profile · Graph Learning
← authors
·
overview
Mark Heimann
4
papers ·
172
citations ·
10
h-index
Lawrence Livermore National Laboratory
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
2020 · 171 citations
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
2023 · 1 citations
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding
2021
Top co-authors
Danai Koutra
· 3
Jiong Zhu
· 2
Benjamin Fish
· 1
Donald Loveland
· 1
Jing Zhu
· 1
Leman Akoglu
· 1
Lingxiao Zhao
· 1
Michael T. Schaub
· 1
Xingyu Lu
· 1
Yujun Yan
· 1
Topics
Theory & Expressivity
GNN Architectures