81 citations · 135 across the 13 of their papers we have counts for
3 papers · 1 filter
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
Camelia D. Brumar, Gabriel Appleby, Jen Rogers +4
Content recommendation tasks increasingly use Graph Neural Networks, but it remains challenging for machine learning experts to assess the quality of their outputs. Visualization s…
Kriging Convolutional Networks
Gabriel Appleby, Linfeng Liu, Li-Ping Liu
Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial loc…
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
Harry Li, Gabriel Appleby, Camelia Daniela Brumar +2
This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Thro…