Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

INT32 Data Range Limitation: The original cumm matrix multiplication operation raises an error when encountering int32 data ranges. When the mesh is very large, this ...

📚 Matrixity The All-In-One Matrix App. Designed and implemented in Java using OOP principles. Sleek looking GUI with a modern and minimalistic feel. Solving system of linear equations have never felt ...

Abstract: Sparse matrices have recently played a significant and impactful role in scientific computing, including artificial intelligence-related fields. According to historical studies on sparse ...