Recent Advances in Next-Generation Data Science

.- Wasserstein graph convolutional network with attention for imbalanced scRNA-seq data knowledge discovery.
.- Toward a Unified Cybersecurity Knowledge Graph: Leveraging Ontologies and Open Data Sources.
.- How does normalization impact clustering?.
.- Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk.
.- Disease Similarity and Disease Clustering.
.- Composition analysis and identification of ancient glass products.
.- Data entropy-based imbalanced learning.
.- Analysis of the changes in microbial community during the fermentation of Feng-flavour Baijiu.
.- EnhanciGraph: Visualizing Enhancer-Gene Interactions.
.- Event-triggered Control for Synchronization of Chaotic Delayed Lur'e Systems with Stochastic cyber-attacks.
.- In-game Win Prediction Models for Cricket.
.- Finite-time outer average synchronization between two coupled heterogeneous complex dynamical
networks and its application in secure communication.
.- Classification of in-situ Solar Wind Data Measured by Solar Orbiter/SWA-PAS and HIS using
Machine Learning.
.- Node classification with Multi-hop Graph Convolutional Network.
.- PyDaskShift: Automatically Convert Loop-Based Sequential Programs to Distributed Parallel Programs.