Soham Deshmukh

Forecasting Emerging Cross-Field Linkages with Temporal Graph and Scienti f ic Text Representations

Predicting Emerging Interdisciplinary Scientific Field Mergers via Dynamic Graph Self-Attention Networks and Semantic Text Embeddings

Predicting previously unobserved relationships between scientific fields can be formulated as a temporal link-prediction problem. This study develops a reproducible framework that combines structural, semantic, and temporal information to rank field pairs that are likely to form new cross-field linkages. The empirical...