Le Lézard

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This achievement proposes a ...
IEEE

A Temporal–Spatial Graph Network With a Learnable Adjacency Matrix for Appliance-Level Electricity Consumption Prediction

Abstract: Predicting the electricity consumption of individual appliances, known as appliance-level energy consumption (ALEC) prediction, is essential for effective energy management and conservation.
IEEE

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data

Abstract: Timely detection and accurate diagnosis of faults in technological processes can significantly reduce production costs in manufacturing. Modern industrial equipment, equipped with numerous ...
GPS World

MatrixSpace wins C-UAS Low-Cost Sensing Challenge

Winners of the U.S. defense Counter-small Unmanned Aircraft System (C-sUAS) Low-Cost Sensing (LCS) challenge have been announced. The selected systems secured a place among the 10 finalists who ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...