Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
GitHub

Build fast and accurate GenAI apps with GraphRAG SDK at scale

Simplify the development of your next GenAI application with GraphRAG-SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ...
GitHub

A federated graph learning method to multi-party collaboration for molecular discovery

We use CUDA Version 11.7. If you have a different version of CUDA, please ensure that you install the appropriate versions of PyTorch and the CUDA toolkit that are ...
IEEE

Novel Insights Into the Theory of Sequence Spaces for Fuzzy Numbers via Bessel Functions

Abstract: This paper introduces a novel theoretical framework for sequence spaces of fuzzy numbers based on Bessel statistical convergence and strong Bessel summability. The proposed approach ...
Frontiers

Multi-perspective hotel operation process anomaly prediction method based on graph transformer and autoencoder

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...
IEEE

Graph Learning for Power Flow Analysis: A Global-Receptive Graph Iteration Network Method

Abstract: The data-driven methods based on the graph convolution architecture provide a promising direction for accelerating power flow (PF) calculation. These methods directly predict operational ...