Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction

Geospatial Clustering for Balanced and Proximal Schools

REGAL: A Regionalization framework for school boundaries

Due to constant shifts in population and changing demographics, school boundary processes take place to make adjustments to school attendance zones. This spatial problem has multiple criteria like locations of schools, their capacity utilization, …