Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
GitHub

MATLAB functions and scripts for working with receiver functions

These codes are pretty old. I no longer have MATLAB so I'm setting the repository to archive. These are functions I wrote during my post doc at USC (2009-2011) to work with receiver function data. It ...
GitHub

A MATLAB toolbox for reading, plotting and manipulating OTT Parsivel2 disdrometer 'raw' data.

The OTT Parsivel2 is a laser-optical disdrometer that measures the size and velocity of hydrometeors (Loffler-Mang and Joss, 2000). Usually the sampling output is 1 min, in a text file. The Parsivel2 ...
IEEE

Neural Acceleration of Graph Based Utility Functions for Sparse Matrices

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...
IEEE

Bilinear Scoring Function Search for Knowledge Graph Learning

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...