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Want to build a career in data science? First, learn these 7 essential skills.

Career in Data Science: Data Science has emerged as one of the fastest-growing career options in the corporate and IT sectors ...
Sports Illustrated

When the Hurricanes’ Stanley Cup Run Got Stressful, Tripp Tracy’s Radio Call Made It All Worthwhile

Early in Game 2, I stopped trying to sync the radio to the television. I could not abandon my beloved audio feed. But I had to accept that it would mean hearing the Stanley Cup Final a second and a ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
IEEE

HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs

Abstract: Heterogeneous graphs (HGs) with multiple entity and relation types are common in real-world networks. Heterogeneous graph neural networks (HGNNs) have shown promise for learning HG ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...