Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

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

Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...
jagranjosh.com

GATE Data Science & Artificial Intelligence Syllabus 2026, Check GATE DA Important Topics, Download PDF

GATE DA Syllabus 2026: The candidates who are preparing for the GATE 2026 Data Science & Artificial Intelligence (DA) exam must go through the GATE Data Science & Artificial Intelligence syllabus. IIT ...
IEEE

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data

Abstract: Facing the prevalence of mental disorders around the world, the burden of healthcare services becomes increasingly imminent. To lessen patients' suffering, the timely diagnosis and therapy ...
C&EN

RIGR: Resonance-Invariant Graph Representation for Molecular Property Prediction

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...