6 papers
Structurally Speaking: Motif-Oriented Graph Captioning through Bidirectional Graph-Text Translation
Hsiao-Ying Lu, Dongyu Liu, Kwan-Liu Ma
Graph captions should help readers understand graph structure, rather than simply translate adjacency matrices into long textual edge lists. A useful graph caption abstracts connec…
Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction
Yuhua Huang, Hsiao-Ying Lu, Kwan-Liu Ma
Cancer care requires a longitudinal approach in which treatments are planned and delivered over time according to the needs of each individual patient. While prior research has tho…
Associating Healthcare Teamwork with Patient Outcomes for Predictive Analysis
Hsiao-Ying Lu, Kwan-Liu Ma
Cancer treatment outcomes are influenced not only by clinical and demographic factors but also by the collaboration of healthcare teams. However, prior work has largely overlooked…
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
Hsiao-Ying Lu, Yiran Li, Ujwal Pratap Krishna Kaluvakolanu Thyagarajan +1
Graph Neural Networks (GNNs) achieve outstanding performance across graph-based tasks but remain difficult to interpret. In this paper, we revisit foundational assumptions underlyi…
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
Hsiao-Ying Lu, Yiran Li, Kwan-Liu Ma
Communication among healthcare professionals (HCPs) is crucial for the quality of patient treatment. Surrounding each patient's treatment, communication among HCPs can be examined…
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
Hsiao-Ying Lu, Takanori Fujiwara, Ming-Yi Chang +3
Multivariate networks are commonly found in real-world data-driven applications. Uncovering and understanding the relations of interest in multivariate networks is not a trivial ta…