Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

Interplay Between Node and Edge Laplacians Through Spectral Analysis of Redefined ‘Degree and Adjacency’ Matrices of Digraphs

Abstract: This work seeks to interconnect the well-known concept of the graph Laplacian with its edge counterpart, the Edge Laplacian with respect to a new and updated definition of edge-degree and ...
GitHub

EECS 281: Data Structures and Algorithms, 24 Fall

Welcome to my 281 archive! This notes include implementations of basic data structures: union-find sets, unordered_map by hash table, AVL tree, graph represented by adjacency matrix&list and a lot ...
IEEE

A Sea Clutter Suppression Method With Graph Neural Network for Maritime Target Detection

Abstract: Radar is widely applied in maritime target detection. However, the performance of sea-surface target detection in complex ocean environments is limited because of the low signal-to-clutter ...
Frontiers

DHCLHAM: microbe-drug interaction prediction based on dual-hypergraph contrastive learning framework with hierarchical attention mechanism

Introduction: Various drugs can markedly disrupt gut microbiota, resulting in a reduction of beneficial microbial populations and precipitating a range of negative clinical consequences. Traditional ...
GitHub

ethj0r/IF2123-Geometric-and-Linear-Algebra-MATRIX-CALCULATOR

A Java-based matrix calculator with JavaFX GUI, featuring System of Linear Equations solver, matrix operations (determinant, inverse), interpolation, polynomial regression, and SEAMLESS CLONING using ...