We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key idea is to transfer user modifications on a local substructure to other substructures in the whole graph that are topologically similar to the exemplar. We first precompute a canonical representation for each substructure with node embedding techniques and then use it for on-the-fly substructure retrieval. We design and develop a light-weight interactive system to enable intuitive adjustment, modification transfer, and visual graph exploration. %DIFDELCMD < \replaced[id=pan]{black{We also report some results of quantitative comparisons, three case studies, and a within-participant user study.}}{%%% Experimental results and case studiesdemonstrate that our approach improves readability and performance over existing layout editing schemes .
We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key idea is to transfer user modifications on a local substructure to other substructures in the whole graph that are topologically similar to the exemplar. We first precompute a canonical representation for each substructure with node embedding techniques and then use it for on-the-fly substructure retrieval. We design and develop a light-weight interactive system to enable intuitive adjustment, modification transfer, and visual graph exploration. %DIFDELCMD < \replaced[id=pan]{black{We also report some results of quantitative comparisons, three case studies, and a within-participant user study.}}{%%% We also report some results of quantitative comparisons, three case studies, and a within-participant user study .
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Experimental results and case studiesdemonstrate that our approach improves readability and performance over existing layout editing schemes
We also report some results of quantitative comparisons, three case studies, and a within-participant user study