Communications of the ACM

A Practical Guide to Last-Touch and Multi-Touch Attribution

Most organizations rely on traditional last-touch attribution, a simple model that assigns 100% credit to the last engagement ...
IEEE

Improving Ozone Forecasting Across Multiple Sites with Temporal Convolutional Graph Neural Networks for Air Quality Management

Abstract: With rapid economic and industrial growth, ozone has become a major air pollutant, presenting significant risks to human health, ecosystems, and agriculture. Accurate forecasting of ozone ...
IEEE

Balanced and Discrete Multi-View Clustering With Adaptive Graph Learning

Abstract: Graph-based methods have demonstrated strong performance in multi-view clustering (MVC) due to their capability to capture complex data structures. Among these, discrete spectral embedding ...
Frontiers

GTAT-GRN: a graph topology-aware attention method with multi-source feature fusion for gene regulatory network inference

Gene regulatory network (GRN) inference is a central task in systems biology. However, due to the noisy nature of gene expression data and the diversity of regulatory structures, accurate GRN ...
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 ...