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Seung-Hwan Lim

Seung-Hwan Lim

Research Scientist

Contact

LIMS1@ORNL.GOV

Bio

I am a computer scientist who works on machine learning on discrete structures like graph and sequences. 

Google scholar entry:

Publications

November 2022

Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning...

Conference Paper
November 2022

Exaflops Biomedical Knowledge Graph Analytics

Conference Paper
July 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers

Conference Paper
March 2022

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced…

Conference Paper
February 2022

Community Fabric: Visualizing Communities and Structure in Dynamic Networks

Journal: Information Visualization

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Computing and Computational Sciences Directorate
Computer Science and Mathematics Division
Mathematics in Computation Section
Discrete Algorithms Group

Related News

Research Highlight

Translational symmetries constrain how phonons interact in layered magnets

Research Highlight

Adaptive Single Parameter Total Variation Regularization for Derivative Estimation

Research Highlight

Versatile Feature Learning with Graph Convolutions and Graph Structures

News

ORNL technologies receive six R&D 100 Awards
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