IEEE

Efficient Radiation Pattern Prediction of Array Antennas Based on Complex-Valued Graph Neural Networks

Abstract: Antenna design with the traditional numerical methods is a highly computationally expensive task. In this letter, a complex-valued graph neural network (GNN) with residual connections is ...
IEEE

Self-Supervised Learning of Graph Neural Networks for Precoding in 1-bit Quantized Large Array Systems

Abstract: Given the growing number of radio frequency chains in modern large array systems and the move to higher carrier frequencies and larger bandwidths, digital-to-analog converters (DACs) are ...
GitHub

Build rich DTO graphs from flat SQL result sets — without an ORM. A high-performance mapper that converts flat database/array rows into structured DTO graphs using identity ...

The Flat Identity DTO Mapper takes flat SQL result sets (e.g. from JOIN queries) and maps them into rich, nested DTO object graphs. It uses an Identity Map to ensure that each unique entity is ...
GitHub

Traverses array structures and object graphs to enumerate all referenced objects.

If you only need this library during development, for instance to run your project's test suite, then you should add it as a development-time dependency: There was an ...