Concepedia

Mark Heimann

MH

6

Publications

509

Citations

6

H-Index

2019

Active since

Affiliations

University of Michigan(Current)

Mark Heimann is an author at University of Michigan specializing in engineering, computer science, and data science.

Top concepts

EngineeringData ScienceComputer ScienceGraph TheoryMachine LearningNetwork AnalysisKnowledge DiscoveryBusinessDeep LearningNetwork Science

Publications per year

2019–2021

6

Publications

6

Beyond Homophily in Graph Neural Networks: Current Limitations and\n Effective Designs

Jiong Zhu, Yujun Yan, Lingxiao Zhao et al. · arXiv (Cornell University) · 2020 · 265 citations · Full text

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Jiong Zhu, Yujun Yan, Lingxiao Zhao et al. · arXiv (Cornell University) · 2020 · 171 citations · Full text

Geometric Learning, Engineering, Machine Learning +18

Toward Understanding and Evaluating Structural Node Embeddings

Junchen Jin, Mark Heimann, Di Jin et al. · ACM Transactions on Knowledge Discovery from Data · 2021 · 26 citations

Network Theory (Electrical Engineering), Graph Representation Learning, Engineering +24

Di Jin, Mark Heimann, Tara Safavi et al. · 2019 · 19 citations · Full text

Natural Language Processing, Email Behavior, Engineering +11

Distribution of Node Embeddings as Multiresolution Features for Graphs

Mark Heimann, Tara Safavi, Danai Koutra · 2019 · 17 citations

Geometric Learning, Engineering, Machine Learning +17

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