Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories
Aug 25, 2025·
,,,,,·
1 min read
Yiqiao Jin
Andrew Zhao
Yeon-Chang Lee
Meng Ye
Ajay Divakaran
Srijan Kumar
Abstract
Interdisciplinary research relies on tracking how concepts, communities, and citations evolve over time. We propose Dynamic Graph Embedding Trajectories (DyGET), a framework that converts temporal graph embeddings into interpretable trajectories that surface interdisciplinary insights. DyGET supports cross-disciplinary discovery, anomaly detection, and longitudinal community analysis.
Type
Publication
KDD 2025 Workshop on Temporal Graph Learning (TGL)
Abstract
Interdisciplinary research relies on tracking how concepts, communities, and citations evolve over time. We propose Dynamic Graph Embedding Trajectories (DyGET), a framework that converts temporal graph embeddings into interpretable trajectories that surface interdisciplinary insights.
