2 citations · 6 across the 7 of their papers we have counts for
7 papers · 1 filter
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
Harry Li, Gabriel Appleby, Kenneth Alperin +2
High-stakes domains like cyber operations need responsible and trustworthy AI methods. While large language models (LLMs) are becoming increasingly popular in these domains, they s…
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
Brian Montambault, Gabriel Appleby, Jen Rogers +3
Dimensionality reduction techniques are widely used for visualizing high-dimensional data. However, support for interpreting patterns of dimension reduction results in the context…
A Typology of Decision-Making Tasks for Visualization
Camelia D. Brumar, Sam Molnar, Gabriel Appleby +2
Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the field. While visualization task taxono…
A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs
Harry Li, Gabriel Appleby, Ashley Suh
We present a mixed-methods study to explore how large language models (LLMs) can assist users in the visual exploration and analysis of knowledge graphs (KGs). We surveyed and inte…
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…
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…