4 citations · 4 across the 4 of their papers we have counts for
4 papers
GLL: A Differentiable Graph Learning Layer for Neural Networks
Jason Brown, Bohan Chen, Harris Hardiman-Mostow +2
Standard deep learning architectures used for classification generate label predictions with a projection head and softmax activation function. Although successful, these methods f…
Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
Xinyi Leng, Jason Liang, Jack Mauro +8
Narrative data spans all disciplines and provides a coherent model of the world to the reader or viewer. Recent advancement in machine learning and Large Language Models (LLMs) hav…
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models
Bohan Chen, Andrea L. Bertozzi
Traditional methods of linking large language models (LLMs) to knowledge bases via the semantic similarity search often fall short of capturing complex relational dynamics. To addr…
Graph-based Active Learning for Surface Water and Sediment Detection in Multispectral Images
Bohan Chen, Kevin Miller, Andrea L. Bertozzi +1
We develop a graph active learning pipeline (GAP) to detect surface water and in-river sediment pixels in satellite images. The active learning approach is applied within the train…